Alternatives and similar repositories for Draw-Paper-Plot-Using-Seaborn:

Users that are interested in Draw-Paper-Plot-Using-Seaborn are comparing it to the libraries listed below

• yikangshen / MoA
  Mixture of Attention Heads
  ☆41Updated 2 years ago
• WOWNICE / ssl-small
  Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".
  ☆16Updated 3 years ago
• kai-wen-yang / IDAA
  [ICML2022] "Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning"
  ☆10Updated 2 years ago
• mjy1111 / PEAK
  The repository for our paper: Neighboring Perturbations of Knowledge Editing on Large Language Models
  ☆16Updated 8 months ago
• CogComp / TAWT
  Weighted Training for Cross-Task Learning
  ☆15Updated last year
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆13Updated 4 years ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆39Updated 3 months ago
• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated last year
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• hyp1231 / ICLR2023-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆18Updated 2 years ago
• xwgeng / SSAN
  How Does Selective Mechanism Improve Self-attention Networks?
  ☆27Updated 3 years ago
• sanagno / neurips_2022_statistics
  ☆17Updated 2 years ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆31Updated 8 months ago
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• Noahs-ARK / RFA
  ☆32Updated 3 years ago
• Alsace08 / OOD-Math-Reasoning
  Code and Data Repo for [NeurIPS 2024] Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
  ☆21Updated 8 months ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆54Updated last year
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆30Updated 3 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆38Updated 3 years ago
• yangxuntu / catt
  ☆12Updated 3 years ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆32Updated last year
• ziquanliu / NeurIPS2022_UOT_fine_tuning
  ☆12Updated last year
• Hritikbansal / jpo
  ☆12Updated last month
• lancopku / Explicit-Sparse-Transformer
  code for Explicit Sparse Transformer
  ☆58Updated last year
• yaohungt / Self_Supervised_Learning_Multiview
  ☆41Updated 4 years ago
• lzy1732008 / GaussionTransformer
  For paper《Gaussian Transformer: A Lightweight Approach for Natural Language Inference》
  ☆29Updated 4 years ago
• netpaladinx / DPMPN
  ☆21Updated last year
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆32Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆29Updated last year