[ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"
☆19Feb 20, 2025Updated last year
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"☆11Feb 20, 2025Updated last year
- [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"☆19Oct 19, 2023Updated 2 years ago
- [ICML 2025] Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape☆18May 18, 2025Updated last year
- ICML-2025 (Spotlight) "From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control"☆15May 7, 2026Updated 2 months ago
- Implementation of "RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm"☆17Apr 11, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Welcome to the 'In Context Learning Theory' Reading Group☆31Nov 8, 2024Updated last year
- Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.☆15Dec 11, 2021Updated 4 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆16Feb 27, 2025Updated last year
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Jan 28, 2024Updated 2 years ago
- ☆26Feb 20, 2026Updated 5 months ago
- The official code of FineRMoE.☆21Mar 17, 2026Updated 4 months ago
- [ICCV 2023] Black Box Few-Shot Adaptation for Vision-Language models☆27May 14, 2024Updated 2 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆211Apr 13, 2026Updated 3 months ago
- Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024☆19Jul 11, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆18Jan 17, 2024Updated 2 years ago
- uPU, nnPU and PN learning with Extra Trees classifier.☆20Dec 2, 2024Updated last year
- Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21☆16Sep 14, 2021Updated 4 years ago
- Measuring the Signal to Noise Ratio in Language Model Evaluation☆31Aug 19, 2025Updated 11 months ago
- [NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [N…☆22Jul 2, 2025Updated last year
- Some thoughts about writing scientific papers☆23Nov 8, 2024Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆404Jul 21, 2026Updated last week
- ☆16May 25, 2026Updated 2 months ago
- ☆11Apr 22, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- codebase for the SIMAT dataset and evaluation☆39Feb 16, 2022Updated 4 years ago
- Evaluation of concept erasing diffusion models should include latent likelihood☆22Nov 3, 2025Updated 8 months ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 6 years ago
- Codebase for ICML submission "DOGE: Domain Reweighting with Generalization Estimation"☆21Feb 29, 2024Updated 2 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆36Dec 4, 2025Updated 7 months ago
- This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…☆101Updated this week
- ☆10Jun 3, 2019Updated 7 years ago
- Machine Learning for Mathematical Formalization☆11Jul 20, 2024Updated 2 years ago
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Nov 15, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation☆18Sep 2, 2024Updated last year
- PyTorch implementation of Dist-PU (CVPR 2022)☆33Jun 19, 2022Updated 4 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆49Oct 10, 2024Updated last year
- LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)☆13Jun 13, 2023Updated 3 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆20Dec 4, 2023Updated 2 years ago
- A curated list of resources for activation engineering☆139Oct 2, 2025Updated 9 months ago
- A PyTorch implementation of the Variational approach for PU learning☆31Oct 11, 2020Updated 5 years ago