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AlphaFold
AlphaFold can accurately predict 3D models of protein structures and has the potential to accelerate research in every field of biology.
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Particle-Based Score Estimation for Jointly Learning Transition and Observation Models in Autonomous Driving
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Reasoning-Modulated Representations
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Learning Graph Search Heuristics
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Continuous Neural Algorithmic Planners
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Unbiased and Efficient Sampling of Dependency Trees
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A Generalist Neural Algorithmic Learner
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BLaDE: Robust Exploration via Diffusion Models
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Scaffolding cooperation in human groups with deep reinforcement learning
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Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy
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Large-Scale Retrieval for Reinforcement Learning
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Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
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Score-Based Diffusion meets Annealed Importance Sampling
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Learning to Navigate Wikipedia by Taking Random Walks
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Semantic Exploration from Language Abstractions and Pretrained Representations
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Continuous diffusion for categorical data
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Fine-tuning language models to find agreement among humans with diverse preferences
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Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Deep Equilibrium Networks
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Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
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Towards combinatorial invariance for Kazhdan-Lusztig polynomials
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Curiosity in hindsight
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Controlling Commercial Cooling Systems Using Reinforcement Learning
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A Generalist Agent
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Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
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What is the simplest model that can account for high-fidelity imitation?
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Diagnosing failures of fairness transfer across distribution shift in real-world medical settings