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MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei
Recent advancements in large language models, such as GPT -4, have demonstrated remarkable capabilities in processing standard queries.
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Neural Information Processing Systems http://nips.cc/
Towards a Zero-One Law for Column Subset Selection
Zhao Song, David Woodruff, Peilin Zhong
Indeed, this is a central question of recent workstudyinggeneralized lowrankmodels.
Binarized Spectral Compressive Imaging
Consequently, these methods can hardly be deployed on resource-limited mobile devices.
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam
Neural Information Processing Systems http://nips.cc/
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
With acareful study, we find amore general problem which is rooted in low-frequency words in the text corpus.
Generative Neural Machine Translation
Neural Information Processing Systems http://nips.cc/
Deep Generative Video Compression
Salvator Lombardo, JUN HAN, Christopher Schroers, Stephan Mandt
Our approach builds upon variational autoencoder (V AE) models for sequential data and combines them with recent work on neural image compression.
H3T: Efficient Integration of Memory Optimization and Parallelism for High-Throughput Transformer Training Y uzhong Wang
Transformer-based models, their huge parameter size poses a serious challenge to their training, both from the storage and computation perspectives.
A General Framework for Symmetric Property Estimation
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
Neural Information Processing Systems http://nips.cc/