pip install antialiased-cnns to improve stability and accuracy
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
🔥[ICML'25] Official repository for the paper "Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search"
Deep Isometric Learning for Visual Recognition (ICML 2020)
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim
Soft Threshold Weight Reparameterization for Learnable Sparsity
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
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