Kyunghyun Cho
- Neural Machine Translation by Jointly Learning to Align and Translate
2014/09/01 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Kyunghyun Cho +3 · 9 voices · 363 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Self-Rewarding Language Models
2024/01/18 by Weizhe Yuan, Richard Yuanzhe Pang, Yuan, Weizhe +11 · 4 voices · 91 citations
#cs.CL #cs.AI
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
2014/06/03 by Kyunghyun Cho, Bart van Merriënboer, Cho, Kyunghyun +11 · 412 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis #Topic Modeling
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015/02/10 by Kelvin Xu, Xu, Kelvin, Jimmy Ba +13 · 1 voice · 55 citations
#cs.LG #cs.CV
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
2014/12/11 by Jun‐Young Chung, Çağlar Gülçehre, Chung, Junyoung +5 · 352 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis
- Iterative Reasoning Preference Optimization
2024/04/30 by Richard Yuanzhe Pang, Pang, Richard Yuanzhe, Weizhe Yuan +9 · 2 voices · 35 citations
#cs.CL #cs.AI
- On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
2014/09/03 by Kyunghyun Cho, Cho, Kyunghyun, Bart van Merriënboer +5 · 145 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Handwritten Text Recognition Techniques
- Recurrent Neural Networks for Multivariate Time Series with Missing Values
2016/06/06 by Zhengping Che, Che, Zhengping, Sanjay Purushotham +7 · 72 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Machine Learning in Healthcare #Stock Market Forecasting Methods
- Passage Re-ranking with BERT
2019/01/13 by Rodrigo Nogueira, Nogueira, Rodrigo, Kyunghyun Cho +1 · 83 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
2023/09/13 by Angelica Chen, Ravid Shwartz-Ziv, Chen, Angelica +7 · 4 voices · 28 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- Document Expansion by Query Prediction
2019/04/17 by Rodrigo Nogueira, Wei Yang, Nogueira, Rodrigo +5 · 43 citations
Computer Science · #Topic Modeling #Information Retrieval and Search Behavior #Natural Language Processing Techniques
- Neural Text Generation with Unlikelihood Training
2019/08/12 by Sean Welleck, Ilia Kulikov, Welleck, Sean +9 · 37 citations
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
- xVal: A Continuous Numerical Tokenization for Scientific Language Models
2023/10/04 by Siavash Golkar, Golkar, Siavash, Mariel Pettee +25 · 2 voices · 3 citations
#stat.ML #cs.AI #cs.CL #cs.LG
- BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
2019/02/11 by Alex Wang, Kyunghyun Cho, Wang, Alex +1 · 2 voices · 9 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.CL #cs.LG
- Multi-Stage Document Ranking with BERT
2019/10/31 by Rodrigo Nogueira, Wei Yang, Nogueira, Rodrigo +5 · 31 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
2019/03/20 by Nan Wu, Jason Phang, Wu, Nan +61 · 1 voice · 5 citations
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
- True Few-Shot Learning with Language Models
2021/05/24 by Ethan Perez, Douwe Kiela, Perez, Ethan +3 · 23 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Domain Adaptation and Few-Shot Learning
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
2025/04/24 by Zihan Wang, Kangrui Wang, Wang, Zihan +33 · 77 citations
Computer Science · #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- Unsupervised Neural Machine Translation
2017/10/30 by Mikel Artetxe, Artetxe, Mikel, Gorka Labaka +5 · 21 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Query-Efficient Imitation Learning for End-to-End Autonomous Driving
2016/05/20 by Jiakai Zhang, Zhang, Jiakai, Kyunghyun Cho +1 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
- ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
2015/05/03 by Francesco Visin, Visin, Francesco, Kyle Kastner +9 · 1 voice · 2 citations
#cs.CV
- Neural Machine Translation with Byte-Level Subwords
2019/09/07 by Changhan Wang, Wang, Changhan, Kyunghyun Cho +3 · 11 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- NaturalProofs: Mathematical Theorem Proving in Natural Language
2021/03/24 by Sean Welleck, Jiacheng Liu, Welleck, Sean +9 · 11 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Mathematics, Computing, and Information Processing
- Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
2018/02/19 by Jason Lee, Elman Mansimov, Lee, Jason +3 · 9 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Machine Learning and Data Classification
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
2022/02/10 by Nan Wu, Wu, Nan, Stanisław Jastrzȩbski +5 · 11 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Meta-Learning for Low-Resource Neural Machine Translation
2018/08/25 by Jiatao Gu, Yong Wang, Gu, Jiatao +7 · 12 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Multiple Physics Pretraining for Physical Surrogate Models
2023/10/04 by Michael T. McCabe, Bruno Régaldo-Saint Blancard, McCabe, Michael +25 · 15 citations
Physics and Astronomy · Computer Science · Biochemistry, Genetics and Molecular Biology · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques
- The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
2025/02/11 by Artem Kirsanov, Kirsanov, Artem, Chi-Ning Chou +5 · 2 voices · 6 citations
Computer Science · Neuroscience · #Neurobiology of Language and Bilingualism #Text Readability and Simplification #Topic Modeling #cs.CL
- NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
2025/02/18 by Weizhe Yuan, Jian Yu, Yuan, Weizhe +19 · 18 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques
- Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
2020/04/01 by Nan Wu, Jason Phang, Jungkyu Park +29 · 5 citations
- QCD-Aware Recursive Neural Networks for Jet Physics
2017/02/02 by Gilles Louppe, Kyunghyun Cho, Cyril Becot +1 · 1 voice · 3 citations
#hep-ph #physics.data-an #stat.ML
- Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
2013/11/07 by Çağlar Gülçehre, Gulcehre, Caglar, Kyunghyun Cho +5 · 4 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
2023/11/16 by Alexander Goldberg, Ivan Stelmakh, Goldberg, Alexander +11 · 8 citations
Computer Science · #Expert finding and Q&A systems
- Chemical-Reaction-Aware Molecule Representation Learning
2021/09/21 by Hongwei Wang, Wang, Hongwei, Weijiang Li +11 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
- Continual Learning via Neural Pruning
2019/03/11 by Siavash Golkar, M. Kagan, Golkar, Siavash +3 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Adversarial Robustness in Machine Learning
- VisualSem: A High-quality Knowledge Graph for Vision and Language
2020/08/20 by Houda Alberts, Alberts, Houda, Yash Deshpande +10 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #E.0 #E.2 #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- Task-Oriented Query Reformulation with Reinforcement Learning
2017/04/15 by Rodrigo Nogueira, Nogueira, Rodrigo, Kyunghyun Cho +1 · 4 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Web Data Mining and Analysis
- Iterative Neural Autoregressive Distribution Estimator (NADE-k)
2014/06/05 by Tapani Raiko, Raiko, Tapani, Li Yao +5 · 6 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning
- Nematus: a Toolkit for Neural Machine Translation
2017/03/13 by Rico Sennrich, Sennrich, Rico, Orhan Fırat +20 · 1 voice
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL
- Zero-Resource Translation with Multi-Lingual Neural Machine Translation
2016/06/13 by Orhan Fırat, Baskaran Sankaran, Firat, Orhan +7 · 5 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies
2023/07/28 by Karolis Martinkus, Jan Ludwiczak, Martinkus, Karolis +19 · 6 citations
Engineering · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Monoclonal and Polyclonal Antibodies Research #Nanofabrication and Lithography Techniques
- Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
2025/07/01 by Nicholas Lourie, Michael Y. Hu, Mengying Hu +4 · 3 voices · 6 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Motor Control and Adaptation #Software System Performance and Reliability #cs.CL #cs.LG
- Towards Understanding and Improving GFlowNet Training
2023/05/11 by Max W. Shen, Emmanuel Bengio, Shen, Max W. +9 · 5 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
2016/02/01 by Yijun Xiao, Xiao, Yijun, Kyunghyun Cho +1 · 5 citations
Computer Science · #Topic Modeling #Text and Document Classification Technologies #Natural Language Processing Techniques
- Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model
2016/05/12 by Kyunghyun Cho, Cho, Kyunghyun · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Convolutional Recurrent Neural Networks for Music Classification
2016/09/14 by Keunwoo Choi, George Fazekas, Choi, Keunwoo +5 · 5 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE) #Sound (cs.SD) #Speech and Audio Processing
- Non-Monotonic Sequential Text Generation
2019/02/05 by Sean Welleck, Welleck, Sean, Kianté Brantley +5 · 5 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
2020/10/14 by Gyuwan Kim, Kyunghyun Cho, Kim, Gyuwan +1 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- Latent State Models of Training Dynamics
2023/08/18 by Michael Y. Hu, Hu, Michael Y., Angelica Chen +5 · 1 voice · 3 citations
Computer Science · #Neural Networks and Applications
- Overcoming the Curse of Sentence Length for Neural Machine Translation\n using Automatic Segmentation
2014/09/03 by Jean Pouget-Abadie, Pouget-Abadie, Jean, Dzmitry Bahdanau +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Concept Bottleneck Language Models For protein design
2024/11/09 by Aya Abdelsalam Ismail, Ismail, Aya Abdelsalam, Tuomas Oikarinen +21 · 3 voices · 4 citations
Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Machine Learning in Bioinformatics #Microbial Metabolic Engineering and Bioproduction #cs.LG
- Insertion-based Decoding with automatically Inferred Generation Order
2019/02/04 by Jiatao Gu, Gu, Jiatao, Qi Liu +3 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Training Language Models with Language Feedback at Scale
2023/03/28 by Jérémy Scheurer, Scheurer, Jérémy, Jon Ander Campos +11 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- Dialogue Natural Language Inference
2018/11/01 by Sean Welleck, Welleck, Sean, Jason Weston +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
2020/02/06 by Sean Welleck, Ilia Kulikov, Welleck, Sean +7 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
2019/07/04 by Owen Marschall, Kyunghyun Cho, Marschall, Owen +3 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Neural Network Applications #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Stochastic Gradient Optimization Techniques
- Larger-Context Language Modelling
2015/11/11 by Tian Wang, Kyunghyun Cho, Wang, Tian +1 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Linear Connectivity Reveals Generalization Strategies
2022/05/24 by Jeevesh Juneja, Rachit Bansal, Juneja, Jeevesh +7 · 1 voice · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
2023/06/01 by Ji Won Park, Park, Ji Won, Nataša Tagasovska +7 · 3 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
- Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
2016/06/30 by Çağlar Gülçehre, Gulcehre, Caglar, Sarath Chandar +5 · 3 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural and Evolutionary Computing (cs.NE)
- Backplay: "Man muss immer umkehren"
2018/07/18 by Cinjon Resnick, Roberta Răileanu, Resnick, Cinjon +9 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- An Overview of Large Language Models for Statisticians
2025/02/25 by Wenlong Ji, Weizhe Yuan, Ji, Wenlong +17 · 2 voices · 5 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CL #cs.LG #stat.ML
- Leveraging Implicit Feedback from Deployment Data in Dialogue
2023/07/26 by Richard Yuanzhe Pang, Stephen Roller, Pang, Richard Yuanzhe +7 · 3 citations
Computer Science · #AI in Service Interactions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Speech and dialogue systems #Topic Modeling
- Dynamic Meta-Embeddings for Improved Sentence Representations
2018/04/21 by Douwe Kiela, Kiela, Douwe, Changhan Wang +3 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- A Tutorial on Deep Learning for Music Information Retrieval
2017/09/13 by Keunwoo Choi, Choi, Keunwoo, György Fazekas +5 · 3 citations
Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Generative Adversarial Networks and Image Synthesis
- Joint Embedding Predictive Architectures Focus on Slow Features
2022/11/20 by Vlad Sobal, S V Jyothir, Sobal, Vlad +9 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Fully Character-Level Neural Machine Translation without Explicit\n Segmentation
2016/10/10 by Jason D. Lee, Lee, Jason, Kyunghyun Cho +3 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Boundary-Seeking Generative Adversarial Networks
2017/02/27 by R Devon Hjelm, Hjelm, R Devon, Athul Paul Jacob +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
2018/04/21 by Lifu Huang, Kyunghyun Cho, Huang, Lifu +7 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text and Document Classification Technologies
- Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
2019/06/04 by Jiatao Gu, Gu, Jiatao, Yong Wang +5 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- \mathbbX-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
2024/07/25 by Vlad Sobal, Mark Ibrahim, Sobal, Vlad +13 · 1 voice · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.CV #cs.LG
- ARGUS: Visualization of AI-Assisted Task Guidance in AR
2023/08/11 by Sonia Castelo, Castelo, Sonia, João Rulff +33 · 2 citations
Computer Science · Engineering · #Augmented Reality Applications #Human Pose and Action Recognition #Human Motion and Animation
- Gated Word-Character Recurrent Language Model
2016/06/06 by Yasumasa Miyamoto, Miyamoto, Yasumasa, Kyunghyun Cho +1 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Rapidly Bootstrapping a Question Answering Dataset for COVID-19
2020/04/23 by Raphael Tang, Tang, Raphael, Rodrigo Nogueira +11 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
2020/04/29 by António Góis, Kyunghyun Cho, Góis, António +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Differences between human and machine perception in medical diagnosis
2020/11/28 by Taro Makino, Makino, Taro, Stanisław Jastrzȩbski +39 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
2021/03/05 by Ethan Perez, Douwe Kiela, Perez, Ethan +3 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
- Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task
2024/05/30 by Siavash Golkar, Alberto Bietti, Golkar, Siavash +27 · 2 citations
Computer Science · #Neural Networks and Applications
- Perspectives on the State and Future of Deep Learning - 2023
2023/12/07 by Micah Goldblum, Anima Anandkumar, Goldblum, Micah +17 · 3 voices
#cs.AI #cs.LG
- AlphaD3M: Machine Learning Pipeline Synthesis
2021/11/03 by Iddo Drori, Drori, Iddo, Yamuna Krishnamurthy +13 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
2021/09/06 by Tianxing He, He, Tianxing, Kyunghyun Cho +3 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
2024/07/15 by Nataša Tagasovska, Tagasovska, Nataša, Ji Won Park +19 · 2 citations
Medicine · Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Biosimilars and Bioanalytical Methods
- Computational Identifiability
2026/06/08 by Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun Cho · 1 voice
Computer Science · Mathematics · #cs.LG #cs.AI #math.NA #stat.CO #stat.ME #stat.ML
- A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
2022/10/19 by Nataša Tagasovska, Tagasovska, Nataša, Nathan C. Frey +21 · 1 citation
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms #vaccines and immunoinformatics approaches
- Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
2022/11/13 by Grace Yang, Ming Cao, Yang, Grace +15 · 1 citation
Computer Science · Medicine · #Topic Modeling #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
- Language Models as Causal Effect Generators
2024/11/12 by Lucius E. J. Bynum, Lucius Bynum, Kyunghyun Cho +2 · 1 voice · 1 citation
Computer Science · #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.AP #stat.ME #stat.ML
- First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
2023/11/08 by Naomi Saphra, Eve Fleisig, Saphra, Naomi +5 · 4 voices
Social Sciences · #Computational and Text Analysis Methods #cs.CL
- On the design space between molecular mechanics and machine learning force fields
2025/04/02 by Yuanqing Wang, Kenichiro Takaba, Michael S. Chen +14 · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
- Can Unconditional Language Models Recover Arbitrary Sentences?
2019/07/10 by Nishant Subramani, Subramani, Nishant, Samuel R. Bowman +3 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation
2025/05/19 by Sungmin Cha, Kyunghyun Cho, Cha, Sungmin +1 · 1 voice · 3 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Machine Learning and Algorithms #Topic Modeling #cs.LG
- Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
2024/10/29 by Angelica Chen, Chen, Angelica, Samuel Stanton +15 · 1 citation
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Generalized Inner Loop Meta-Learning
2019/10/03 by Edward Grefenstette, Brandon Amos, Grefenstette, Edward +15 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- AION-1: Omnimodal Foundation Model for Astronomical Sciences
2025/10/20 by Liam Parker, François Lanusse, Parker, Liam +51 · 2 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gamma-ray bursts and supernovae #Instrumentation and Methods for Astrophysics (astro-ph.IM)
- Hyperparameters in Continual Learning: A Reality Check
2024/03/14 by Sungmin Cha, Cha, Sungmin, Kyunghyun Cho +1 · 1 citation
Computer Science · #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
- Meta-Statistical Learning: Supervised Learning of Statistical Estimators
2025/02/17 by Maxime Peyrard, Kyunghyun Cho, Peyrard, Maxime +1 · 1 voice · 1 citation
#cs.LG #cs.AI
- AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
2026/07/30 by Bing Yan, Gregory Wolfe, Stefano Martiniani +1 · 1 voice
Computer Science · #cs.AI #cs.CL #cs.IR #cs.LG
- Solar Open 2 Technical Report
2026/07/22 by Sungrae Park, Sanghoon Kim, Gyoungjin Gim +50
#cs.CL