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Papers for “imagenet”

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

TitleAuthorsYearSource
Pretrained Visual UncertaintiesMichael Kirchhof, Mark Collier, Seong Joon Oh2024arxiv 2402.16569
LoRID: Low-Rank Iterative Diffusion for Adversarial PurificationGeigh Zollicoffer, Minh Vu, Ben Nebgen2024arxiv 2409.08255
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with OutliersYijia Zhou, Kyle A. Gallivan, Adrian Barbu2023arxiv 2302.14599
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel MixingJonathan Cui, David A. Araujo, Suman Saha2023arxiv 2308.13363
SASSL: Enhancing Self-Supervised Learning via Neural Style TransferRenan A. Rojas-Gomez, Karan Singhal, Ali Etemad2023arxiv 2312.01187
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network InferenceYanyue Xie, Zhengang Li, Dana Diaconu2024arxiv 2411.11852
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot ClassificationYuyang Xiao2024arxiv 2411.12151
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Sushmita Sarker, Prithul Sarker, George Bebis2025arxiv 2502.17727
Interpretable Failure Detection with Human-Level ConceptsKien X. Nguyen, Tang Li, Xi Peng2025arxiv 2502.05275
Segregation and Context Aggregation Network for Real-time Cloud SegmentationYijie Li, Hewei Wang, Jiayi Zhang2025arxiv 2504.14178
$V_kD:$ Improving Knowledge Distillation using Orthogonal ProjectionsRoy Miles, Ismail Elezi, Jiankang Deng2024arxiv 2403.06213
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-trainingHyesong Choi, Hyejin Park, Kwang Moo Yi2024arxiv 2404.08327
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model DynamicsSunay Bhat, Jeffrey Jiang, Omead Pooladzandi2024arxiv 2405.18627
Fusion of regional and sparse attention in Vision TransformersNabil Ibtehaz, Ning Yan, Masood Mortazavi2024arxiv 2406.08859
Adaptive Data Augmentation for Contrastive LearningYuhan Zhang, He Zhu, Shan Yu2023arxiv 2304.02451
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data RegimeChuhan Zhang, Antoine Miech, Jiajun Shen2023arxiv 2305.02297
MEGABYTE: Predicting Million-byte Sequences with Multiscale TransformersLili Yu, Dániel Simig, Colin Flaherty2023arxiv 2305.07185
Semi-supervised learning made simple with self-supervised clusteringEnrico Fini, Pietro Astolfi, Karteek Alahari2023arxiv 2306.07483
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionMarc Lafon, Elias Ramzi, Clément Rambour2023arxiv 2305.16966
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion ModelsTuomas Kynkäänniemi, Miika Aittala, Tero Karras2024arxiv 2404.07724