Official Website for the Workshop on Advancing Neural Networks Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024, WANT@NeurIPS 2023)
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Updated
May 27, 2024 - HTML
Official Website for the Workshop on Advancing Neural Networks Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024, WANT@NeurIPS 2023)
🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*
A curated list of recent monocular depth estimation papers
Dataset and benchmark for indoor monocular depth estimation with focus on indoor space types
[MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
This is data curation tool for the NeurIPS Proceddings. Based on year selection, papers could be downloaded into pdfs, abstarcts as needed.
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.
Single-cell Analysis of Perturbational Effects using Machine Learning
[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
(One of) the official code for our NeurIPS'22 paper Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
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