Zemel, Richard
- Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
2015/06/22 by Yukun Zhu, Ryan Kiros, Zhu, Yukun +12 · 2 voices · 66 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Video Analysis and Summarization #cs.CL #cs.CV
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015/02/10 by Kelvin Xu, Xu, Kelvin, Jimmy Ba +13 · 1 voice · 56 citations
#cs.LG #cs.CV
- Gated Graph Sequence Neural Networks
2015/11/17 by Yujia Li, Li, Yujia, Daniel Tarlow +5 · 104 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Topic Modeling
- Causal Effect Inference with Deep Latent-Variable Models
2017/05/24 by Christos Louizos, Louizos, Christos, Uri Shalit +9 · 43 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Statistical Methods and Inference
- Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
2017/01/15 by Wenjie Luo, Luo, Wenjie, Yujia Li +5 · 36 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques
- Generative Moment Matching Networks
2015/02/10 by Yujia Li, Kevin Swersky, Li, Yujia +3 · 30 citations
Computer Science · #Artificial Intelligence (cs.AI) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
- Learning Adversarially Fair and Transferable Representations
2018/02/17 by Madras, David, Creager, Elliot, Pitassi, Toniann +1 · 24 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Predict Responsibly: Improving Fairness and Accuracy by Learning to\n Defer
2017/11/17 by David Madras, Toniann Pitassi, Madras, David +3 · 24 citations
Social Sciences · Neuroscience · Economics, Econometrics and Finance · #Ethics and Social Impacts of AI #Psychology of Moral and Emotional Judgment #Law, Economics, and Judicial Systems
- Exploring Models and Data for Image Question Answering
2015/05/08 by Mengye Ren, Ren, Mengye, Ryan Kiros +3 · 24 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Environment Inference for Invariant Learning
2020/10/14 by Elliot Creager, Jörn-Henrik Jacobsen, Creager, Elliot +3 · 22 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
- The Variational Fair Autoencoder
2015/11/03 by Christos Louizos, Louizos, Christos, Kevin Swersky +7 · 14 citations
Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neural Relational Inference for Interacting Systems
2018/02/13 by Thomas Kipf, Kipf, Thomas, Ethan Fetaya +7 · 14 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
- A Divergence Minimization Perspective on Imitation Learning Methods
2019/11/06 by Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Ghasemipour, Seyed Kamyar Seyed +3 · 11 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Robot Manipulation and Learning
- FLIRT: Feedback Loop In-context Red Teaming
2023/08/08 by Ninareh Mehrabi, Palash Goyal, Mehrabi, Ninareh +15 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Reviving and Improving Recurrent Back-Propagation
2018/03/16 by Renjie Liao, Liao, Renjie, Yuwen Xiong +13 · 7 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural Networks and Reservoir Computing
- Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
2019/06/22 by Guangyong Chen, Chen, Guangyong, Pengfei Chen +21 · 11 citations
Materials Science · Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Metabolomics and Mass Spectrometry Studies
- A PAC-Bayesian Approach to Generalization Bounds for Graph Neural\n Networks
2020/12/14 by Renjie Liao, Liao, Renjie, Raquel Urtasun +3 · 11 citations
Computer Science · #Advanced Graph Neural Networks #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Variational Model Inversion Attacks
2022/01/26 by Wang, Kuan-Chieh, Fu, Yan, Li, Ke +3 · 8 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
2020/06/18 by Sindy Löwe, David Madras, Löwe, Sindy +5 · 7 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Advanced Graph Neural Networks
- On the steerability of large language models toward data-driven personas
2023/11/08 by Li, Junyi, Mehrabi, Ninareh, Peris, Charith +5 · 9 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Understanding the Limitations of Conditional Generative Models
2019/06/04 by Fetaya, Ethan, Jacobsen, Jörn-Henrik, Grathwohl, Will +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Understanding the Origins of Bias in Word Embeddings
2018/10/08 by Marc-Etienne Brunet, Brunet, Marc-Etienne, Colleen Alkalay-Houlihan +5 · 4 citations
Computer Science · #Topic Modeling #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques
- Differentially Private Decoding in Large Language Models
2022/05/26 by Majmudar, Jimit, Dupuy, Christophe, Peris, Charith +3 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Deep Ensembles Work, But Are They Necessary?
2022/02/14 by Taiga Abe, Abe, Taiga, E. Kelly Buchanan +7 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
- Controlling the World by Sleight of Hand
2024/08/13 by Sruthi Sudhakar, Ruoshi Liu, Sudhakar, Sruthi +7 · 6 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation #Robot Manipulation and Learning
- Societal Alignment Frameworks Can Improve LLM Alignment
2025/02/27 by Karolina Stańczak, Nicholas Meade, Stańczak, Karolina +31 · 4 voices · 3 citations
#cs.CY #cs.AI #cs.CL
- Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
2023/12/19 by Anaelia Ovalle, Ovalle, Anaelia, Ninareh Mehrabi +15 · 4 citations
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
- Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
2020/07/31 by Mladenov, Martin, Creager, Elliot, Ben-Porat, Omer +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bayesian Few-Shot Classification with One-vs-Each P 'olya-Gamma\n Augmented Gaussian Processes
2020/07/20 by Jake Snell, Snell, Jake, Richard S. Zemel +1 · 3 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
- Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic
2022/04/07 by Câmara, António, Taneja, Nina, Azad, Tamjeed +2 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Toward Informal Language Processing: Knowledge of Slang in Large Language Models
2024/04/02 by Zhewei Sun, Sun, Zhewei, Qian Hu +6 · 3 citations
Computer Science · Arts and Humanities · Health Professions · #Natural Language Processing Techniques #Linguistics, Language Diversity, and Identity #Interpreting and Communication in Healthcare
- Learning Latent Subspaces in Variational Autoencoders
2018/12/14 by Jack Klys, Jake Snell, Klys, Jack +3 · 2 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
2018/09/07 by Madras, David, Creager, Elliot, Pitassi, Toniann +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
2023/11/22 by Thomas P. Zollo, Zollo, Thomas P., Todd Morrill +9 · 2 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems #Topic Modeling
- Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
2021/04/22 by James Lucas, Lucas, James, Juhan Bae +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Learning a Universal Template for Few-shot Dataset Generalization
2021/05/14 by Eleni Triantafillou, Triantafillou, Eleni, Hugo Larochelle +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
2024/06/20 by Sachit Menon, Richard S. Zemel, Menon, Sachit +3 · 2 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Systems Theories and Implementation
- Semantically Informed Slang Interpretation
2022/05/02 by Zhewei Sun, Richard S. Zemel, Sun, Zhewei +3 · 1 citation
Arts and Humanities · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Swearing, Euphemism, Multilingualism #Translation Studies and Practices
- Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
2022/12/27 by Snell, Jake C., Zollo, Thomas P., Deng, Zhun +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models
2022/11/17 by Mehrabi, Ninareh, Goyal, Palash, Verma, Apurv +7 · 1 citation
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
- SURFSUP: Learning Fluid Simulation for Novel Surfaces
2023/04/13 by Arjun Mani, Mani, Arjun, Ishaan Preetam Chandratreya +7 · 1 citation
Computer Science · Engineering · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Human Motion and Animation #Machine Learning (cs.LG) #Music Technology and Sound Studies
- ICL Markup: Structuring In-Context Learning using Soft-Token Tags
2023/12/12 by Brunet, Marc-Etienne, Anderson, Ashton, Zemel, Richard · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Improving Predictor Reliability with Selective Recalibration
2024/10/07 by Thomas P. Zollo, Zollo, Thomas P., Zhun Deng +7 · 1 citation
Engineering · #Fault Detection and Control Systems
- Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
2024/10/07 by Meng, Tao, Mehrabi, Ninareh, Goyal, Palash +6 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences