Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Uncovering the Structure of Explanation Quality with Spectral Analysis	Johannes Mae\ss, Grégoire Montavon, Shinichi Nakajima	2025	arxiv 2504.08553
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint	Zhi Qi, Shihong Yuan, Yulin Yuan	2024	arxiv 2412.00664
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning	Renye Zhang, Yimin Yin, Jinghua Zhang	2025	arxiv 2504.20797
VCT: Training Consistency Models with Variational Noise Coupling	Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai	2025	arxiv 2502.18197
BOLD: Boolean Logic Deep Learning	Van Minh Nguyen, Cristian Ocampo, Aymen Askri	2024	arxiv 2405.16339
Brain-Inspired Stepwise Patch Merging for Vision Transformers	Yonghao Yu, Dongcheng Zhao, Guobin Shen	2024	arxiv 2409.06963
Scaling 4D Representations	João Carreira, Dilara Gokay, Michael King	2024	arxiv 2412.15212
Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping	Lei Wang, Yulong Tian, Hao Han	2025	arxiv 2511.13356
The Inductive Bottleneck: Data-Driven Emergence of Representational Sparsity in Vision Transformers	Kanishk Awadhiya	2025	arxiv 2512.07331
CorrAttack: Black-box Adversarial Attack with Structured Search	Zhichao Huang, Yaowei Huang, Tong Zhang	2020	arxiv 2010.01250
Multi-trial Neural Architecture Search with Lottery Tickets	Zimian Wei, Hengyue Pan, Lujun Li	2022	arxiv 2203.04300
Imperceptible Adversarial Attack via Invertible Neural Networks	Zihan Chen, Ziyue Wang, Junjie Huang	2022	arxiv 2211.15030
Cardinality-Aware Set Prediction and Top-$k$ Classification	Corinna Cortes, Anqi Mao, Christopher Mohri	2024	arxiv 2407.07140
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks	Hubert Leterme, Kévin Polisano, Valérie Perrier	2022	arxiv 2209.11740
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation	Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira	2024	arxiv 2412.09160
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features	Alec Helbling, Tuna Han Salih Meral, Ben Hoover	2025	arxiv 2502.04320
Batch Normalization-Free Fully Integer Quantized Neural Networks via Progressive Tandem Learning	Pengfei Sun, Wenyu Jiang, Piew Yoong Chee	2025	arxiv 2512.16476
A Flat Minima Perspective on Understanding Augmentations and Model Robustness	Weebum Yoo, Sung Whan Yoon	2025	arxiv 2505.24592
SFTok: Bridging the Performance Gap in Discrete Tokenizers	Qihang Rao, Borui Zhang, Wenzhao Zheng	2025	arxiv 2512.16910
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning	Jinping Wang, Zhiqiang Gao, Zhiwu Xie	2025	arxiv 2512.07844

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