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08/30/2023
LLaSM: Large Language and Speech Model
Multi-modal large language models have garnered significant interest rec...
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07/14/2023
Learning Sparse Neural Networks with Identity Layers
The sparsity of Deep Neural Networks is well investigated to maximize th...
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04/21/2023
Picking Up Quantization Steps for Compressed Image Classification
The sensitivity of deep neural networks to compressed images hinders the...
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02/20/2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
With the urgent demand for generalized deep models, many pre-trained big...
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01/27/2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Due to the binary spike signals making converting the traditional high-p...
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10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
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08/19/2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Recently, the generalization behavior of Convolutional Neural Networks (...
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03/01/2021
Adversarial Reciprocal Points Learning for Open Set Recognition
Open set recognition (OSR), aiming to simultaneously classify the seen c...
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11/30/2020
Annotation-Efficient Untrimmed Video Action Recognition
Deep learning has achieved great success in recognizing video actions, b...
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10/31/2020
