wy1iu / OPTLinks
Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
☆19Updated 3 years ago
Alternatives and similar repositories for OPT
Users that are interested in OPT are comparing it to the libraries listed below
Sorting:
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆15Updated 2 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated last year
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆20Updated 6 months ago
- [ECCV 2024] This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".☆27Updated last year
- ☆38Updated last year
- Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]☆16Updated 2 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 10 months ago
- Understanding Self-Supervised Learning in a non-IID Setting☆20Updated 2 years ago
- Official Implementation for PlugIn Inversion☆16Updated 3 years ago
- Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)☆32Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆77Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year
- Stochastic Optimization for Global Contrastive Learning without Large Mini-batches☆20Updated 2 years ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆19Updated 2 months ago
- ☆21Updated 2 years ago
- Codebase of Truncated Consistency Models (ICLR 2025)☆23Updated 4 months ago
- ☆24Updated last year
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model☆17Updated last year
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 2 years ago
- Code for T-MARS data filtering☆35Updated last year
- [AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tail …☆33Updated 3 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 3 months ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆51Updated last year