Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Implicit Feature Decoupling with Depthwise Quantization	Iordanis Fostiropoulos, Barry Boehm	2022	arxiv 2203.08080
Stretchable Cells Help DARTS Search Better	Tao Huang, Shan You, Yibo Yang	2020	arxiv 2011.09300
The iMaterialist Fashion Attribute Dataset	Sheng Guo, Weilin Huang, Xiao Zhang	2019	arxiv 1906.05750
Learning Representations by Maximizing Mutual Information Across Views	Philip Bachman, R Devon Hjelm, William Buchwalter	2019	arxiv 1906.00910
DAmageNet: A Universal Adversarial Dataset	Sizhe Chen, Xiaolin Huang, Zhengbao He	2019	arxiv 1912.07160
TResNet: High Performance GPU-Dedicated Architecture	Tal Ridnik, Hussam Lawen, Asaf Noy	2020	arxiv 2003.13630
Numerical influence of ReLU'(0) on backpropagation	David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz	2021	arxiv 2106.12915
Fast Training of Diffusion Models with Masked Transformers	Hongkai Zheng, Weili Nie, Arash Vahdat	2023	arxiv 2306.09305
Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection	Xijie Huang, Zechun Liu, Shih-Yang Liu	2023	arxiv 2306.07215
Squeeze-and-Remember Block	Rinor Cakaj, Jens Mehnert, Bin Yang	2024	arxiv 2410.00823
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors	Linwei Tao, Haolan Guo, Minjing Dong	2024	arxiv 2410.12295
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement	Chuhao Zhou, Chenxi Jiang, Yi Xie	2024	arxiv 2410.13311
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations	Zebin Yun, Achi-Or Weingarten, Eyal Ronen	2023	arxiv 2312.11309
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations	Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter	2024	arxiv 2402.10093
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness	Zeyu Wang, Cihang Xie, Brian Bartoldson	2025	arxiv 2501.09446
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network	Ruichen Ma, Guanchao Qiao, Yian Liu	2024	arxiv 2403.03739
Maintaining Plasticity in Deep Continual Learning	Shibhansh Dohare, J. Fernando Hernandez-Garcia, Parash Rahman	2023	arxiv 2306.13812
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation	Ryota Yoshihashi, Yuya Otsuka, Kenji Doi	2023	arxiv 2309.01369
Bytes Are All You Need: Transformers Operating Directly On File Bytes	Maxwell Horton, Sachin Mehta, Ali Farhadi	2023	arxiv 2306.00238
Consistency Models	Yang Song, Prafulla Dhariwal, Mark Chen	2023	arxiv 2303.01469

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