Top Conference Papers

Auto-Encoding Variational Bayes

TOWARDS A STATISTICAL THEORY OF DATA SELECTION UNDER WEAK SUPERVISION

THE MECHANISTIC BASIS OF DATA DEPENDENCE AND ABRUPT LEARNING IN AN IN-CONTEXT CLASSIFICATION TASK

ROBUST AGENTS LEARN CAUSAL WORLD MODELS

PROVING TEST SET CONTAMINATION IN BLACK BOX LANGUAGE MODELS

MODEL TELLS YOU WHAT TO DISCARD: ADAPTIVE KV CACHE COMPRESSION FOR LLMs

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction

IS IMAGENET WORTH 1 VIDEO? LEARNING STRONG IMAGE ENCODERS FROM 1 LONG UNLABELLED VIDEO

FLOW MATCHING ON GENERAL GEOMETRIES

BEYOND WEISFEILER-LEHMAN: A QUANTITATIVE FRAMEWORK FOR GNN EXPRESSIVENESS

APPROXIMATING NASH EQUILIBRIA IN NORMAL-FORM GAMES VIA STOCHASTIC OPTIMIZATION

AMORTIZING INTRACTABLE INFERENCE IN LARGE LANGUAGE MODELS

VISION TRANSFORMERS NEED REGISTERS

PROTEIN DISCOVERY WITH DISCRETE WALK-JUMP SAMPLING

Never Train from Scratch: FAIR COMPARISON OF LONG-SEQUENCE MODELS REQUIRES DATA-DRIVEN PRIORS

LEARNING INTERACTIVE REAL-WORLD SIMULATORS

GENERALIZATION IN DIFFUSION MODELS ARISES FROM GEOMETRY-ADAPTIVE HARMONIC REPRESENTATIONS