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Add a full list of pruning papers and their codes at ICML 2023 (10 in total) #42

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Add a full list of pruning papers and their codes at ICML 2023 (10 in total) #42

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10 changes: 10 additions & 0 deletions README.md
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Expand Up @@ -42,6 +42,16 @@ A survey of structured pruning can be found at this link: [arxiv](https://arxiv.
### 2023
| Title | Venue | Type | Code |
|:-------------------------------------------------------------------------------------------------------------------------------- |:-----:|:-------:|:----:|
| [SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot](https://proceedings.mlr.press/v202/frantar23a.html) | ICML | `W` | [PyTorch(Author)](https://github.com/IST-DASLab/sparsegpt) |
| [Why Random Pruning Is All We Need to Start Sparse](https://proceedings.mlr.press/v202/gadhikar23a.html) | ICML | `W` | [PyTorch(Author)](https://github.com/RelationalML/sparse_to_sparse) |
| [Fast as CHITA: Neural Network Pruning with Combinatorial Optimization](https://proceedings.mlr.press/v202/benbaki23a.html) | ICML | `W` | [PyTorch(Author)](https://github.com/mazumder-lab/CHITA) |
| [A Three-regime Model of Network Pruning](https://proceedings.mlr.press/v202/zhou23p.html) | ICML | `W` | [PyTorch(Author)](https://github.com/YefanZhou/ThreeRegimePruning) |
| [Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models](https://proceedings.mlr.press/v202/jaiswal23b.html) | ICML | `W` | [PyTorch(Author)](https://github.com/VITA-Group/instant_soup) |
| [Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint](https://proceedings.mlr.press/v202/mo23c/mo23c.pdf) | ICML | `W` | [PyTorch(Author)](https://github.com/mzf666/sparsity-indexed-ode) |
| [UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers](https://proceedings.mlr.press/v202/shi23e.html) | ICML | `F` | [PyTorch(Author)](https://github.com/sdc17/UPop) |
| [Gradient-Free Structured Pruning with Unlabeled Data](https://proceedings.mlr.press/v202/nova23a.html) | ICML | `F` | |
| [Reconstructive Neuron Pruning for Backdoor Defense](https://proceedings.mlr.press/v202/li23v.html) | ICML | `F` | [PyTorch(Author)](https://github.com/bboylyg/RNP) |
| [UPSCALE: Unconstrained Channel Pruning](https://proceedings.mlr.press/v202/wan23a.html) | ICML | `F` | [PyTorch(Author)](https://github.com/apple/ml-upscale) |
| [Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph](https://openreview.net/forum?id=uVcDssQff_) | ICLR | `W` | [PyTorch(Author)](https://github.com/VITA-Group/ramanujan-on-pai)(Releasing) |
| [Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?](https://openreview.net/forum?id=xSsW2Am-ukZ) | ICLR | `W` | - |
| [Bit-Pruning: A Sparse Multiplication-Less Dot-Product](https://openreview.net/forum?id=YUDiZcZTI8) | ICLR | `W` | [Code Deleted](https://github.com/DensoITLab/bitprune) |
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