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SpecTr: Fast Speculative Decoding via Optimal Transport
However, autoregressive sampling generates tokens one at a time making it slow, and even prohibitive in certain tasks.
Differentially Private k-Means with Constant Multiplicative Error
Neural Information Processing Systems http://nips.cc/
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
The emergence of large language models (LLMs) has revolutionized the way we interact with graphs, leading to a new paradigm called GraphLLM.
HowTransferableareVideoRepresentationsBasedon SyntheticData?
We posit that the gap between real and synthetic action representations can be attributed to contextual bias and static objects related to the action, instead of the temporal dynamics of the action itself.
Unorganized Malicious Attacks Detection
Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
This attack style occurs in many real applications, yet relevant study remains open.
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Neural Information Processing Systems http://nips.cc/
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song, Chenlin Meng, Stefano Ermon
Neural Information Processing Systems http://nips.cc/
