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07/20/2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
Mixed-Precision Quantization (MQ) can achieve a competitive accuracy-com...
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05/23/2023
NORM: Knowledge Distillation via N-to-One Representation Matching
Existing feature distillation methods commonly adopt the One-to-one Repr...
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05/18/2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Diffusion Probability Models (DPMs) have made impressive advancements in...
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03/28/2023
DisWOT: Student Architecture Search for Distillation WithOut Training
Knowledge distillation (KD) is an effective training strategy to improve...
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01/24/2023
Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Practical networks for edge devices adopt shallow depth and small convol...
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01/24/2023
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies
Neural architecture search (NAS) has made tremendous progress in the aut...
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01/23/2023
GP-NAS-ensemble: a model for NAS Performance Prediction
It is of great significance to estimate the performance of a given model...
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06/27/2022
Prior-Guided One-shot Neural Architecture Search
Neural architecture search methods seek optimal candidates with efficien...
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12/16/2021
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation (WSSS) is a fundamen...
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07/21/2020
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition
Recent advances in Automatic Speech Recognition (ASR) demonstrated how e...
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07/17/2020
CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition
Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrate...
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06/15/2020
