Summary of Count-based Novelty Exploration in Classical Planning, by Giacomo Rosa and Nir Lipovetzky
Count-based Novelty Exploration in Classical Planningby Giacomo Rosa, Nir LipovetzkyFirst submitted to arxiv on: 25…
Summary of Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-supervised Learning, by Swann Bessa et al.
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learningby Swann Bessa,…
Summary of Trex- Reusing Vision Transformer’s Attention For Efficient Xbar-based Computing, by Abhishek Moitra et al.
TReX- Reusing Vision Transformer’s Attention for Efficient Xbar-based Computingby Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim,…
Summary of Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation, by Shaobo Wang et al.
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillationby Shaobo Wang,…
Summary of Antidote: Post-fine-tuning Safety Alignment For Large Language Models Against Harmful Fine-tuning, by Tiansheng Huang et al.
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuningby Tiansheng Huang, Gautam Bhattacharya,…
Summary of On the Completeness Of Conflict-based Search: Temporally-relative Duplicate Pruning, by Thayne T Walker and Nathan R Sturtevant
On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruningby Thayne T Walker, Nathan R SturtevantFirst…
Summary of Pqv-mobile: a Combined Pruning and Quantization Toolkit to Optimize Vision Transformers For Mobile Applications, by Kshitij Bhardwaj
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applicationsby Kshitij…
Summary of Surgical Sam 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning, By Haofeng Liu et al.
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruningby Haofeng Liu,…
Summary of Think: Thinner Key Cache by Query-driven Pruning, By Yuhui Xu et al.
ThinK: Thinner Key Cache by Query-Driven Pruningby Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang,…
Summary of Greedy Output Approximation: Towards Efficient Structured Pruning For Llms Without Retraining, by Jianwei Li and Yijun Dong and Qi Lei
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retrainingby Jianwei Li, Yijun Dong,…