zzp1012 / SAM-in-Late-PhaseView external linksLinks
[ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"
☆18Feb 20, 2025Updated 11 months ago
Alternatives and similar repositories for SAM-in-Late-Phase
Users that are interested in SAM-in-Late-Phase are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"☆11Feb 20, 2025Updated 11 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Nov 8, 2024Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Feb 27, 2025Updated 11 months ago
- [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"☆19Oct 19, 2023Updated 2 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆32Dec 4, 2025Updated 2 months ago
- ☆10May 22, 2024Updated last year
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆16Aug 8, 2025Updated 6 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆39Jul 18, 2025Updated 6 months ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10May 21, 2024Updated last year
- pytorch☆10Apr 13, 2022Updated 3 years ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆39Nov 1, 2024Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆390Jan 7, 2026Updated last month
- Learning from Indirect Observations☆11Jul 16, 2021Updated 4 years ago
- ☆11Feb 2, 2026Updated 2 weeks ago
- ☆14Dec 12, 2024Updated last year
- ☆10Aug 13, 2019Updated 6 years ago
- P4Control: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF☆11May 20, 2024Updated last year
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- ☆11Apr 22, 2024Updated last year
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆56Feb 4, 2026Updated last week
- [CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation☆47May 14, 2024Updated last year
- CIFAR10 ResNets implemented in JAX+Flax☆12Apr 6, 2022Updated 3 years ago
- [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical☆12May 12, 2024Updated last year
- Combining SOAP and MUON☆19Feb 11, 2025Updated last year
- MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation☆13Sep 2, 2024Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Feb 22, 2025Updated 11 months ago
- Official code for "Vision Transformers with Self-Distilled Registers" (NeurIPS 2025 Spotlight)☆32Dec 6, 2025Updated 2 months ago
- [CVPR 2025] An Implementation of the paper "Pre-Instruction Data Selection for Visual Instruction Tuning"☆17Jun 9, 2025Updated 8 months ago
- ☆15Oct 21, 2021Updated 4 years ago
- A curated list of awesome papers on dataset reduction, including dataset distillation (dataset condensation) and dataset pruning (coreset…☆60Jan 14, 2025Updated last year
- Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.☆14Dec 11, 2021Updated 4 years ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆14Feb 11, 2025Updated last year
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Jan 28, 2024Updated 2 years ago
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆18May 9, 2025Updated 9 months ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 3 years ago
- ☆13Dec 4, 2023Updated 2 years ago
- [EMNLP 2024 Main] Code for the paper "Dissecting Fine-Tuning Unlearning in Large Language Models"☆15Oct 10, 2024Updated last year
- [EMNLP 2024] Implementation of vision-language model fine-tuning via simple parameter-efficient modification☆18Nov 24, 2024Updated last year