Yanqi-Chen / LATSLinks
To appear in the 11th International Conference on Learning Representations (ICLR 2023).
☆18Updated 2 years ago
Alternatives and similar repositories for LATS
Users that are interested in LATS are comparing it to the libraries listed below
Sorting:
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.☆14Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆26Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆13Updated 6 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- ☆25Updated 3 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- ☆26Updated last year
- ☆17Updated 3 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆45Updated 10 months ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆33Updated 11 months ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆22Updated 2 years ago
- ☆23Updated last year
- [CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS☆36Updated 2 years ago
- ☆37Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 2 years ago
- Code for RepNAS☆13Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- ☆27Updated 2 years ago
- [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective☆25Updated last year
- super-resolution; post-training quantization; model compression☆12Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆88Updated last year
- ☆12Updated last year
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated last year