Puneet K. Dokania
- Calibrating Deep Neural Networks using Focal Loss
2020/02/21 by Jishnu Mukhoti, Mukhoti, Jishnu, Viveka Kulharia +9 · 57 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- On Tiny Episodic Memories in Continual Learning
2019/02/27 by Arslan Chaudhry, Marcus Rohrbach, Chaudhry, Arslan +11 · 47 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM
- Fine-tuning can cripple your foundation model; preserving features may be the solution
2023/08/25 by Jishnu Mukhoti, Mukhoti, Jishnu, Yarin Gal +5 · 35 citations
Engineering · Computer Science · #BIM and Construction Integration #Power Systems and Technologies #Model-Driven Software Engineering Techniques
- Using Hindsight to Anchor Past Knowledge in Continual Learning
2020/02/19 by Arslan Chaudhry, Chaudhry, Arslan, Albert Gordo +7 · 14 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
2019/06/11 by Amartya Sanyal, Philip H. S. Torr, Sanyal, Amartya +3 · 11 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
2024/07/14 by Samyak Jain, Ekdeep Singh Lubana, Jain, Samyak +11 · 21 citations
Computer Science · Decision Sciences · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Safety Analysis #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research
- Sample-dependent Adaptive Temperature Scaling for Improved Calibration
2022/07/13 by Tom Joy, Francesco Pinto, Joy, Tom +7 · 7 citations
Computer Science · Materials Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification #Machine Learning in Materials Science
- Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
2019/09/24 by Arnab Ghosh, Ghosh, Arnab, Richard Zhang +11 · 5 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Mirror Descent View for Neural Network Quantization
2019/10/18 by Thalaiyasingam Ajanthan, Ajanthan, Thalaiyasingam, Kartik Gupta +7 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
2016/05/30 by Anton Osokin, Jean-Baptiste Alayrac, Osokin, Anton +7 · 4 citations
Computer Science · #68T05 #90C06 #90C52 #90C90 #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #G.1.6 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Optimization and Control (math.OC)
- Mixture of Experts Made Intrinsically Interpretable
2025/03/05 by Xingyi Yang, Yang, Xingyi, Constantin Venhoff +11 · 1 voice · 9 citations
Computer Science · #Machine Learning and Algorithms #Neural Networks and Applications #cs.CL #cs.LG
- Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
2023/07/03 by Kemal Öksüz, Oksuz, Kemal, Tom Joy +3 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
2023/09/26 by Kemal Öksüz, Oksuz, Kemal, Selim Kuzucu +5 · 4 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
- Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
2024/02/26 by Pau de Jorge, Riccardo Volpi, de Jorge, Pau +7 · 4 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction
- ANCER: Anisotropic Certification via Sample-wise Volume Maximization
2021/07/09 by Francisco Eiras, Eiras, Francisco, Motasem Alfarra +11 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
2021/04/01 by Shyamgopal Karthik, Karthik, Shyamgopal, Ameya Prabhu +5 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Anomaly Detection Techniques and Applications #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Online Continual Learning Without the Storage Constraint
2023/05/16 by Ameya Prabhu, Zhipeng Cai, Prabhu, Ameya +9 · 3 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) #Multimodal Machine Learning Applications
- Computationally Budgeted Continual Learning: What Does Matter?
2023/03/20 by Ameya Prabhu, Prabhu, Ameya, Hasan Abed Al Kader Hammoud +11 · 3 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Data Stream Mining Techniques #Water Systems and Optimization
- Visual Dialogue without Vision or Dialogue
2018/12/16 by Daniela Massiceti, Puneet K. Dokania, Massiceti, Daniela +4 · 5 citations
Computer Science · Psychology · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Speech and dialogue systems
- Raising the Bar on the Evaluation of Out-of-Distribution Detection
2022/09/24 by Jishnu Mukhoti, Tsung‐Yu Lin, Mukhoti, Jishnu +11 · 1 citation
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
2023/10/20 by Francisco Eiras, Eiras, Francisco, Kemal Öksüz +7 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Progressive Skeletonization: Trimming more fat from a network at\n initialization
2020/06/16 by Pau de Jorge, Amartya Sanyal, de Jorge, Pau +9 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Sensor and Energy Harvesting Materials #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG)
- How benign is benign overfitting?
2020/07/08 by Amartya Sanyal, Sanyal, Amartya, Puneet K. Dokania +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- MObI: Multimodal Object Inpainting Using Diffusion Models
2025/01/06 by Alexandru Buburuzan, Buburuzan, Alexandru, Anuj Sharma +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Music and Audio Processing