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Constrained Offline RL via Stationary Distribution Correction Estimation
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From Dirichlet to Rubin: Optimistic exploration in RL without bonuses
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Input-level Inductive Biases for 3D Reconstruction
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BYOL-Explore: Exploration with Bootstrapped Prediction
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Unlocking High-Accuracy Differentially Private Image Classification through Scale
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Perceiver AR: general-purpose, long-context autoregressive generation
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Evaluating Multimodal Interactive Agents
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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models
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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
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A Generalist Agent
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Active offline policy selection
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The prospects and opportunities of protein structure prediction with AI
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Fair Normalizing Flows
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Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
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Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers
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A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
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An empirical analysis of compute-optimal large language model training
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Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
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Learning heuristics for A*
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From eye-blinks to state construction: diagnostic benchmarks for online representation learning
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Continuous Neural Algorithmic Planners
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Towards better visual explanations for deep image classifiers
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Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
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Investigating the Properties of Neural Network Representations in Reinforcement Learning
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Graph Neural Networks are Dynamic Programmers