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06/22/2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
We present a new dataset condensation framework termed Squeeze, Recover ...
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10/20/2022
MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance
Recent advances in self-supervised learning integrate Masked Modeling an...
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11/29/2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
The nonuniform quantization strategy for compressing neural networks usu...
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11/09/2021
Sliced Recursive Transformer
We present a neat yet effective recursive operation on vision transforme...
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05/20/2021
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
Entanglement is a physical phenomenon, which has fueled recent successes...
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03/07/2020
PathVQA: 30000+ Questions for Medical Visual Question Answering
Is it possible to develop an "AI Pathologist" to pass the board-certifie...
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06/12/2019
Efficient Exploration via State Marginal Matching
To solve tasks with sparse rewards, reinforcement learning algorithms mu...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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02/19/2019
Explaining a black-box using Deep Variational Information Bottleneck Approach
Briefness and comprehensiveness are necessary in order to give a lot of ...
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02/18/2019
Regularizing Black-box Models for Improved Interpretability
Most work on interpretability in machine learning has focused on designi...
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11/22/2017
