Papers
12094 papers
ICML2024
Interpreting and Improving Large Language Models in Arithmetic Calculation
Summary pending...
ICML2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Summary pending...
ICML2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Summary pending...
ICML2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Summary pending...
ICML2024
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
Summary pending...
ICML2024
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
Summary pending...
ICML2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Summary pending...
ICML2024
Surprisingly Strong Performance Prediction with Neural Graph Features
Summary pending...
ICML2024
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
Summary pending...
ICML2024
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
Summary pending...
ICML2024
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
Summary pending...
ICML2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
Summary pending...
ICML2024
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Summary pending...
ICML2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Summary pending...
ICML2024
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Summary pending...