Summary of Hydra: Sequentially-dependent Draft Heads For Medusa Decoding, by Zachary Ankner et al.
Hydra: Sequentially-Dependent Draft Heads for Medusa Decodingby Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard,…
Summary of Probabilistic Ml Verification Via Weighted Model Integration, by Paolo Morettin et al.
Probabilistic ML Verification via Weighted Model Integrationby Paolo Morettin, Andrea Passerini, Roberto SebastianiFirst submitted to…
Summary of Open-vocabulary Calibration For Fine-tuned Clip, by Shuoyuan Wang et al.
Open-Vocabulary Calibration for Fine-tuned CLIPby Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou,…
Summary of Online Cascade Learning For Efficient Inference Over Streams, by Lunyiu Nie et al.
Online Cascade Learning for Efficient Inference over Streamsby Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher…
Summary of Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers, by Md Shamim Hussain et al.
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformersby Md Shamim…
Summary of Quip#: Even Better Llm Quantization with Hadamard Incoherence and Lattice Codebooks, by Albert Tseng et al.
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooksby Albert Tseng, Jerry Chee,…
Summary of Adaflow: Imitation Learning with Variance-adaptive Flow-based Policies, by Xixi Hu et al.
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policiesby Xixi Hu, Bo Liu, Xingchao Liu, Qiang LiuFirst…
Summary of Billm: Pushing the Limit Of Post-training Quantization For Llms, by Wei Huang et al.
BiLLM: Pushing the Limit of Post-Training Quantization for LLMsby Wei Huang, Yangdong Liu, Haotong Qin,…
Summary of Adaptive Inference: Theoretical Limits and Unexplored Opportunities, by Soheil Hor et al.
Adaptive Inference: Theoretical Limits and Unexplored Opportunitiesby Soheil Hor, Ying Qian, Mert Pilanci, Amin ArbabianFirst…
Summary of Nercc: Nested-regression Coded Computing For Resilient Distributed Prediction Serving Systems, by Parsa Moradi et al.
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systemsby Parsa Moradi, Mohammad Ali Maddah-AliFirst…