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Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
ReAct: Out-of-distribution Detection With Rectified ActivationsYiyou Sun, Chuan Guo, Yixuan Li2021arxiv 2111.12797
Semantic-Aware Generation for Self-Supervised Visual Representation LearningYunjie Tian, Lingxi Xie, Xiaopeng Zhang2021arxiv 2111.13163
Progressive Automatic Design of Search Space for One-Shot Neural Architecture SearchXin Xia, Xuefeng Xiao, Xing Wang2020arxiv 2005.07564
Cascaded Diffusion Models for High Fidelity Image GenerationJonathan Ho, Chitwan Saharia, William Chan2021arxiv 2106.15282
Vision Transformer for Small-Size DatasetsSeung Hoon Lee, Seunghyun Lee, Byung Cheol Song2021arxiv 2112.13492
Improving Robustness with Image FilteringMatteo Terzi, Mattia Carletti, Gian Antonio Susto2021arxiv 2112.11235
PCACE: A Statistical Approach to Ranking Neurons for CNN InterpretabilitySílvia Casacuberta, Esra Suel, Seth Flaxman2021arxiv 2112.15571
Distance-Ratio-Based Formulation for Metric LearningHyeongji Kim, Pekka Parviainen, Ketil Malde2022arxiv 2201.08676
Boundary Defense Against Black-box Adversarial AttacksManjushree B. Aithal, Xiaohua Li2022arxiv 2201.13444
Diagnosing Batch Normalization in Class Incremental LearningMinghao Zhou, Quanziang Wang, Jun Shu2022arxiv 2202.08025
Visual Feature Encoding for GNNs on Road NetworksOliver Stromann, Alireza Razavi, Michael Felsberg2022arxiv 2203.01187
Self-Distribution Distillation: Efficient Uncertainty EstimationYassir Fathullah, Mark J. F. Gales2022arxiv 2203.08295
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs CompressionDuc Minh Vo, Akihiro Sugimoto, Hideki Nakayama2022arxiv 2203.08456
Reliability-Aware Quantization for Anti-Aging NPUsSami Salamin, Georgios Zervakis, Ourania Spantidi2021arxiv 2103.04812
Locally Asynchronous Stochastic Gradient Descent for Decentralised Deep LearningTomer Avidor, Nadav Tal Israel2022arxiv 2203.13085
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch RobustnessGiulio Lovisotto, Nicole Finnie, Mauricio Munoz2022arxiv 2203.13639
Mix-up Self-Supervised Learning for Contrast-agnostic ApplicationsYichen Zhang, Yifang Yin, Ying Zhang2022arxiv 2204.00901
Semantically Adversarial Learnable FiltersAli Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro2020arxiv 2008.06069
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured SparsificationSharath Girish, Kamal Gupta, Saurabh Singh2022arxiv 2204.02965
Deeply Unsupervised Patch Re-Identification for Pre-training Object DetectorsJian Ding, Enze Xie, Hang Xu2021arxiv 2103.04814