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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
From Phase to Phenomenon: Self-Supervised Learning of Subsurface Scattering with Minimal Phase-shift InputsArjun Majumdar, Raphael Braun, Andreas Engelhardt2026arxiv 2606.29461
Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color PriorsYuki Nii, Futa Waseda, Ching-Chun Chang2026arxiv 2607.17610
DiFA: Inference-Time Forward-Process Alignment for Diffusion ModelsShigui Li, Delu Zeng2026arxiv 2607.17972
Statistical Adversaries: Natural Backdoor-like Features in Vision DatasetsPaul K. Mandal, Pavan Reddy, Tristan Malatynski2026arxiv 2607.05516
Distilling Drifting Transformers with Representation AutoencodersJiawei Zhang, Mengfei Xia, Gen Li2026arxiv 2606.15553
Sharpness-Aware Minimization and Muon: Robustness under the Spectral NormWenzhi Zhong, Edward Milsom, Michael Murray2026arxiv 2607.26001
Subtype Robustness Is Not Just Accuracy: Calibration Under Unseen Subtype ShiftHanyu Su, Carlota Julbe i Juanola, Yibo Hu2026arxiv 2608.00928
CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum OrthogonalizationChuyan Chen, Peng Sun, Kun Yuan2026arxiv 2608.02502
Signed Rectified Flow: Negativity-Controlled GenerationRunlong Liao, Baiyu Su, Lizhang Chen2026arxiv 2607.18516
Self-Distillation of Hidden Layers for Self-Supervised Representation LearningScott C. Lowe, Anthony Fuller, Sageev Oore2026arxiv 2603.15553
FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image GenerationMingfeng Lin, Jiakun Chen, Liang Han2026arxiv 2605.06421
Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial AttacksTianyi Wang, Zhenghao Gao, Shengjie Xu2026arxiv 2608.04441
CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed ClassificationGawon Lim2026arxiv 2608.11287
Contextual Convolutional Neural NetworksIonut Cosmin Duta, Mariana Iuliana Georgescu, Radu Tudor Ionescu2021arxiv 2108.07387
Reducing Label Effort: Self-Supervised meets Active LearningJavad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski2021arxiv 2108.11458
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep SubnetworksAlexandre Rame, Remy Sun, Matthieu Cord2021arxiv 2103.06132
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationJohn Miller, Rohan Taori, Aditi Raghunathan2021arxiv 2107.04649
Global Filter Networks for Image ClassificationYongming Rao, Wenliang Zhao, Zheng Zhu2021arxiv 2107.00645
SIMILAR: Submodular Information Measures Based Active Learning In Realistic ScenariosSuraj Kothawade, Nathan Beck, Krishnateja Killamsetty2021arxiv 2107.00717
Teacher-Class Network: A Neural Network Compression MechanismShaiq Munir Malik, Muhammad Umair Haider, Mohbat Tharani2020arxiv 2004.03281