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05/18/2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings
Deep neural networks have consistently shown great performance in severa...
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01/30/2023
An adversarial feature learning strategy for debiasing neural networks
Simplicity bias is the concerning tendency of deep networks to over-depe...
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12/14/2022
Interactive Concept Bottleneck Models
Concept bottleneck models (CBMs) (Koh et al. 2020) are interpretable neu...
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12/12/2022
Selective classification using a robust meta-learning approach
Selective classification involves identifying the subset of test samples...
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12/12/2022
Learning on non-stationary data with re-weighting
Many real-world learning scenarios face the challenge of slow concept dr...
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11/14/2022
Robustifying Deep Vision Models Through Shape Sensitization
Recent work has shown that deep vision models tend to be overly dependen...
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10/07/2022
Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition
Meta-learning is critical for a variety of practical ML systems – like p...
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08/29/2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Reliable outlier detection is critical for real-world applications of de...
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06/12/2022
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning
The options framework in Hierarchical Reinforcement Learning breaks down...
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03/30/2022
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Multi-object multi-part scene parsing is a challenging task which requir...
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02/07/2022
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing
Knowledge distillation is a technique where the outputs of a pretrained ...
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11/18/2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Continual learning (CL) aims to develop techniques by which a single mod...
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08/19/2021
Efficient remedies for outlier detection with variational autoencoders
Deep networks often make confident, yet incorrect, predictions when test...
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06/06/2021
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks
Neural models and symbolic algorithms have recently been combined for ta...
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12/09/2020