Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Scalable Weight Reparametrization for Efficient Transfer Learning	Byeonggeun Kim, Jun-Tae Lee, Seunghan yang	2023	arxiv 2302.13435
Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm	Sizhe Chen, Qinghua Tao, Zhixing Ye	2021	arxiv 2102.10343
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning	Ting Chen, Ruixiang Zhang, Geoffrey Hinton	2022	arxiv 2208.04202
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance	Bahjat Kawar, Roy Ganz, Michael Elad	2022	arxiv 2208.08664
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning	Xiawu Zheng, Chenyi Yang, Shaokun Zhang	2019	arxiv 1905.13543
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude	Fu Wang, Yanghao Zhang, Yanbin Zheng	2021	arxiv 2103.03076
Quality-aware Pre-trained Models for Blind Image Quality Assessment	Kai Zhao, Kun Yuan, Ming Sun	2023	arxiv 2303.00521
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis	Subhankar Ghosh, Taha Belkhouja, Yan Yan	2023	arxiv 2303.10694
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning	Islam Nassar, Munawar Hayat, Ehsan Abbasnejad	2023	arxiv 2303.13556
Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image	Dianyi Yang, Jiadong Tang, Yu Gao	2023	arxiv 2303.14645
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning	Che Wang, Xufang Luo, Keith Ross	2022	arxiv 2202.10324
TRAK: Attributing Model Behavior at Scale	Sung Min Park, Kristian Georgiev, Andrew Ilyas	2023	arxiv 2303.14186
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation	Tong Wu, Jiarui Zhang, Xiao Fu	2023	arxiv 2301.07525
Decoupled Training for Long-Tailed Classification With Stochastic Representations	Giung Nam, Sunguk Jang, Juho Lee	2023	arxiv 2304.09426
Network Pruning Spaces	Xuanyu He, Yu-I Yang, Ran Song	2023	arxiv 2304.09453
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models	Chengzhi Mao, Scott Geng, Junfeng Yang	2022	arxiv 2212.07016
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning	Xinghui Li, Kai Han, Xingchen Wan	2023	arxiv 2305.02385
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields	Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang	2023	arxiv 2305.04722
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification	Di Wang, Jing Zhang, Bo Du	2023	arxiv 2304.09915
Multisample Flow Matching: Straightening Flows with Minibatch Couplings	Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich	2023	arxiv 2304.14772

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