Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation	Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda	2020	arxiv 2005.01807
Robot Object Retrieval with Contextual Natural Language Queries	Thao Nguyen, Nakul Gopalan, Roma Patel	2020	arxiv 2006.13253
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling	Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul	2020	arxiv 2009.12007
Omni-Dimensional Dynamic Convolution	Chao Li, Aojun Zhou, Anbang Yao	2022	arxiv 2209.07947
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation	Zhiqiang Shen, Ammar Sherif, Zeyuan Yin	2024	arxiv 2411.19946
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic	Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo	2025	arxiv 2508.09176
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection	Leonid Boytsov, Ameya Joshi, Filipe Condessa	2024	arxiv 2402.17018
Learning to Generate Parameters of ConvNets for Unseen Image Data	Shiye Wang, Kaituo Feng, Changsheng Li	2023	arxiv 2310.11862
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network	Rui Li, Mikhail Kudryashev, Artur Yakimovich	2024	arxiv 2407.03239
OOWL500: Overcoming Dataset Collection Bias in the Wild	Brandon Leung, Chih-Hui Ho, Amir Persekian	2021	arxiv 2108.10992
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search	Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard	2021	arxiv 2108.06156
Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency	Hao Yu, Haoyu Chen, Yan Jiang	2025	arxiv 2510.20092
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems	Fatemeh Zahra Safaeipour, Jacob Chakareski, Morteza Hashemi	2025	arxiv 2510.23503
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP	Jihao Liu, Xin Huang, Guanglu Song	2022	arxiv 2207.05420
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations	Youwei Liang, Chongjian Ge, Zhan Tong	2022	arxiv 2202.07800
Manipulating the Label Space for In-Context Classification	Haokun Chen, Xu Yang, Yuhang Huang	2023	arxiv 2312.00351
SemPPL: Predicting pseudo-labels for better contrastive representations	Matko Bošnjak, Pierre H. Richemond, Nenad Tomasev	2023	arxiv 2301.05158
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices	Lei Xun, Jonathon Hare, Geoff V. Merrett	2024	arxiv 2401.08965
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator	Shiguang Wang, Tao Xie, Haijun Liu	2024	arxiv 2408.16233
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing	Ali Ghanbarzade, Hossein Soleimani	2023	arxiv 2301.12541

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