Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Multiple Object Stitching for Unsupervised Representation Learning	Chengchao Shen, Dawei Liu, Jianxin Wang	2025	arxiv 2506.07364
SpectralAR: Spectral Autoregressive Visual Generation	Yuanhui Huang, Weiliang Chen, Wenzhao Zheng	2025	arxiv 2506.10962
Sequential Policy Gradient for Adaptive Hyperparameter Optimization	Zheng Li, Jerry Cheng, Huanying Helen Gu	2025	arxiv 2506.15051
Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning	Prabhav Sanga, Jaskaran Singh, Arun K. Dubey	2025	arxiv 2506.14515
Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization	Matteo Gallici, Haitz Sáez de Ocáriz Borde	2025	arxiv 2505.23331
CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation	Haoxuan Wang, Zhenghao Zhao, Junyi Wu	2025	arxiv 2506.22637
AR2: Attention-Guided Repair for the Robustness of CNNs Against Common Corruptions	Fuyuan Zhang, Qichen Wang, Jianjun Zhao	2025	arxiv 2507.06332
Rectified Noise: A Generative Model Using Positive-incentive Noise	Zhenyu Gu, Yanchen Xu, Sida Huang	2025	arxiv 2511.07911
ActVAR: Activating Mixtures of Weights and Tokens for Efficient Visual Autoregressive Generation	Kaixin Zhang, Ruiqing Yang, Yuan Zhang	2025	arxiv 2511.12893
Learning to Expand Images for Efficient Visual Autoregressive Modeling	Ruiqing Yang, Kaixin Zhang, Zheng Zhang	2025	arxiv 2511.15499
CompressNAS : A Fast and Efficient Technique for Model Compression using Decomposition	Sudhakar Sah, Nikhil Chabbra, Matthieu Durnerin	2025	arxiv 2511.11716
Dynamic Temperature Scheduler for Knowledge Distillation	Sibgat Ul Islam, Jawad Ibn Ahad, Fuad Rahman	2025	arxiv 2511.13767
A Greedy Algorithm for Quantizing Neural Networks	Eric Lybrand, Rayan Saab	2020	arxiv 2010.15979
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices	Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk	2021	arxiv 2103.03239
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective	Jingzhao Zhang, Haochuan Li, Suvrit Sra	2021	arxiv 2110.06256
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts	Jinho Choi, Hyesu Lim, Steffen Schneider	2025	arxiv 2510.26186
Advancing Image Classification with Discrete Diffusion Classification Modeling	Omer Belhasin, Shelly Golan, Ran El-Yaniv	2025	arxiv 2511.20263
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models	Timing Yang, Guoyizhe Wei, Alan Yuille	2025	arxiv 2511.18380
EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching	Ziyun Li, Ben Dai, Huancheng Hu	2025	arxiv 2511.19087
Pre-train to Gain: Robust Learning Without Clean Labels	David Szczecina, Nicholas Pellegrino, Paul Fieguth	2025	arxiv 2511.20844

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