Alternatives and similar repositories for conference-deadlines:

Users that are interested in conference-deadlines are comparing it to the libraries listed below

• ranpox / openreview-visualization
  OpenReivew Submission Visualization (ICLR 2024/2025)
  ☆148Updated 3 months ago
• lucmos / relreps
  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…
  ☆56Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆26Updated 2 months ago
• tranhungnghiep / AI-Conference-Info
  Extensive acceptance rates and information of main AI conferences
  ☆147Updated 5 months ago
• ZhangTP1996 / TapTap
  ☆64Updated last year
• anpwu / Awesome-Causal-LLM
  ☆24Updated 2 months ago
• papercopilot / paperlists
  Processed / Cleaned Data for Paper Copilot
  ☆205Updated this week
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆55Updated 2 weeks ago
• amitness / open-in-overleaf
  Access latex source of any arxiv.org paper directly on overleaf
  ☆152Updated 7 months ago
• neubig / research-career-tools
  ☆152Updated last month
• zhaochenyang20 / Cyber-Security
  Course notes for Cyber Security (THUCST 2023 Spring)
  ☆26Updated last year
• radarFudan / Awesome-state-space-models
  Collection of papers on state-space models
  ☆568Updated 3 weeks ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆90Updated last month
• RayeRen / rayeren.github.io
  My personal homepage
  ☆72Updated this week
• vduong143 / CAT-KDD-2024
  Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".
  ☆18Updated 4 months ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆281Updated last week
• ML-GSAI / RADD
  Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
  ☆24Updated 4 months ago
• pengr / IKD-MMT
  Our code for EMNLP'22 Oral paper "Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation".
  ☆30Updated 11 months ago
• SuDIS-ZJU / awesome-tabular-data-augmentation
  ☆42Updated 5 months ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆157Updated 3 weeks ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆159Updated 2 years ago
• louaaron / Score-Entropy-Discrete-Diffusion
  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
  ☆454Updated 10 months ago
• weigq / iclr2024_stats
  ICLR2024 statistics
  ☆47Updated last year
• AlvinWen428 / FeatureCP
  The official codebase for Predictive Inference with Feature Conformal Prediction
  ☆34Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆92Updated last year
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆27Updated last year
• kulbachcedric / EvOAutoML
  ☆17Updated 2 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆168Updated 6 months ago
• shiqiangw / iclr-scores
  ☆54Updated 2 months ago