Papers

12094 papers

ICML2024

Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms

Summary pending...

Paper

ICML2024

Tandem Transformers for Inference Efficient LLMs

Summary pending...

Paper

ICML2024

Understanding Heterophily for Graph Neural Networks

Summary pending...

Paper

ICML2024

State-Free Inference of State-Space Models: The Transfer Function Approach

Summary pending...

Paper

ICML2024

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Summary pending...

Paper

ICML2024

Complexity Matters: Feature Learning in the Presence of Spurious Correlations

Summary pending...

Paper

ICML2024

Reinforcement Learning and Regret Bounds for Admission Control

Summary pending...

Paper

ICML2024

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching

Summary pending...

Paper

ICML2024

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Summary pending...

Paper

ICML2024

Rethinking Momentum Knowledge Distillation in Online Continual Learning

Summary pending...

Paper

ICML2024

Deep Regression Representation Learning with Topology

Summary pending...

Paper

ICML2024

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

Summary pending...

Paper

ICML2024

A3S: A General Active Clustering Method with Pairwise Constraints

Summary pending...

Paper

ICML2024

Optimal Transport for Structure Learning Under Missing Data

Summary pending...

Paper

ICML2024

Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Summary pending...

Paper

ICML2024

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Summary pending...

Paper

ICML2024

Physics and Lie symmetry informed Gaussian processes

Summary pending...

Paper

ICML2024

How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective

Summary pending...

Paper

ICML2024

Semantically-correlated memories in a dense associative model

Summary pending...

Paper

ICML2024

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules

Summary pending...

Paper

Papers

Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms

Tandem Transformers for Inference Efficient LLMs

Understanding Heterophily for Graph Neural Networks

State-Free Inference of State-Space Models: The *Transfer Function* Approach

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Complexity Matters: Feature Learning in the Presence of Spurious Correlations

Reinforcement Learning and Regret Bounds for Admission Control

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Rethinking Momentum Knowledge Distillation in Online Continual Learning

Deep Regression Representation Learning with Topology

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

A3S: A General Active Clustering Method with Pairwise Constraints

Optimal Transport for Structure Learning Under Missing Data

Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Physics and Lie symmetry informed Gaussian processes

How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective

Semantically-correlated memories in a dense associative model

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules

State-Free Inference of State-Space Models: The Transfer Function Approach