NeurIPS 2024 Workshop Compression Submissions

QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models
Zhumazhan Balapanov, Vanessa Matvei, Olivia Holmberg, Edward Magongo, Kevin Zhu, Jonathan Pei
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Interactions Across Blocks in Post-Training Quantization of Large Language Models
Khasmamad Shabanovi, Lukas Wiest, Vladimir Golkov, Daniel Cremers, Thomas Pfeil
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
LORC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy
Rongzhi Zhang, Kuan Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, yelong shen
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Latent Probabilistic Dataset Distillation with Theoretical Guarantees
Progyan Das, Shrutimoy Das, Anirban Dasgupta
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
Pranav Ajit Nair, Arun Suggala
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Non-interactive Remote Coordination
Yassine Hamdi, Xueyan Niu, Bo Bai, Deniz Gunduz
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Layer-wise Quantization for Distributed Variational Inequalities
Anh Duc Nguyen, Ilia Markov, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Communication Compression for Tensor Parallel LLM Inference
Jan Hansen-Palmus, Michael Truong Le, Oliver Hausdörfer, Alok Verma
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Large Language Model Compression with Neural Architecture Search
Rhea Sanjay Sukthanker, Benedikt Staffler, Frank Hutter, Aaron Klein
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
LLM Vocabulary Compression for Low-Compute Environments
Sreeram Vennam, Anish R Joishy, Ponnurangam Kumaraguru
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Benchmarking neural lossless compression algorithms on multi-purpose astronomical image data
Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
A Theory for Compressibility of Graph Transformers for Transductive Learning
Hamed Shirzad, Honghao Lin, Ameya Velingker, Balaji Venkatachalam, David Woodruff, Danica J. Sutherland
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression
Lucas Relic, Roberto Azevedo, Yang Zhang, Markus Gross, Christopher Schroers
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Towards Scalable Compression with Universally Quantized Diffusion Models
Yibo Yang, Justus Will, Stephan Mandt
- Published: 09 Oct 2024, Last Modified: 13 Dec 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Deep Clustering with Associative Memories
Bishwajit Saha, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
LSH-E Tells You What To Discard: An Adaptive Locality-Sensitive Strategy for KV Cache Compression
Tahseen Rabbani, Minghui Liu, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Furong Huang
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Exploiting Temporal Priors for Efficient Real-time Compression and Feedback of Wireless Channels
Akshay Malhotra, Mohamed Salah Ibrahim, Keya Patani
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
Niket Nikul Patel, Ravid Shwartz-Ziv
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Simple LLM Compression Recovery Using Dynamic Prompting with Theoretical Analysis
Duc N.M Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models
Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Adaptive Quantization and Pruning of Deep Neural Networks via Layer Importance Estimation
Tushar Shinde
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Learnable Fourier-based Activations for Implicit Signal Representations
Parsa Mojarad Adi, Ali Mehrabian
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone
Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
Yijun Dong, Xiang Pan, Hoang Phan, Qi Lei
- Published: 09 Oct 2024, Last Modified: 19 Nov 2024
- Compression Workshop @ NeurIPS 2024
- Readers: Everyone