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Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
Osman Asif Malik, Stephen Becker
Neural Information Processing Systems http://nips.cc/
ContextualSqueeze-and-ExcitationforEfficient Few-ShotImageClassification
A key factor in many of these applications is the Pareto frontier ofaccuracyvs.computational
Neural Voice Cloning with a Few Samples
Sercan Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Information Processing Systems http://nips.cc/
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Y our Data
We present QATCH (Query-Aided TRL Checklist), a toolbox to highlight TRL models' strengths and weaknesses on relational tables unseen at training time. For an input table, QATCH automatically generates a testing checklist tailored to QA and SP .
Communication Compression for Decentralized Training
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
Neural Information Processing Systems http://nips.cc/
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
We revisit data selection in a modern context of finetuning from a fundamental perspective.