Papers

12094 papers

ICML2024

Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

Summary pending...

ICML2024

ReconBoost: Boosting Can Achieve Modality Reconcilement

Summary pending...

ICML2024

Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention

Summary pending...

ICML2024

In-Context Principle Learning from Mistakes

Summary pending...

ICML2024

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Summary pending...

ICML2024

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Summary pending...

ICML2024

Estimating Barycenters of Distributions with Neural Optimal Transport

Summary pending...

ICML2024

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Summary pending...

ICML2024

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Summary pending...

ICML2024

KernelWarehouse: Rethinking the Design of Dynamic Convolution

Summary pending...

ICML2024

Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning

Summary pending...

ICML2024

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization

Summary pending...

ICML2024

Triple Changes Estimator for Targeted Policies

Summary pending...

ICML2024

How Transformers Learn Causal Structure with Gradient Descent

Summary pending...

ICML2024

A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions

Summary pending...

ICML2024

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

Summary pending...

ICML2024

Magicoder: Empowering Code Generation with OSS-Instruct

Summary pending...

ICML2024

Clustered Federated Learning via Gradient-based Partitioning

Summary pending...

ICML2024

Explorations of Self-Repair in Language Models

Summary pending...

ICML2024

AI Alignment with Changing and Influenceable Reward Functions

Summary pending...