Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Focal Modulation Networks	Jianwei Yang, Chunyuan Li, Xiyang Dai	2022	arxiv 2203.11926
TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers	Qianyu Zhou, Xiangtai Li, Lu He	2022	arxiv 2201.05047
Differentially Private Image Classification from Features	Harsh Mehta, Walid Krichene, Abhradeep Thakurta	2022	arxiv 2211.13403
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs	André Santos, João Dinis Ferreira, Onur Mutlu	2023	arxiv 2301.06193
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks	Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra	2018	arxiv 1801.10447
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network	James Diffenderfer, Bhavya Kailkhura	2021	arxiv 2103.09377
Learning Rate Curriculum	Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Radu Tudor Ionescu	2022	arxiv 2205.09180
UniFormer: Unifying Convolution and Self-attention for Visual Recognition	Kunchang Li, Yali Wang, Junhao Zhang	2022	arxiv 2201.09450
Rethinking Dataset Distillation: Hard Truths about Soft Labels	Priyam Dey, Aditya Sahdev, Sunny Bhati	2026	arxiv 2604.18811
Surprise as a Signal for Plasticity and Metacognition	Louis Mouchon	2026	arxiv 2606.31495
Do Newer Lightweight CNNs Perform Better Under Resource Constraints? A Controlled Multigenerational Study of Architecture, Initialization, Training Budget, and Efficiency	Tasnim Shahriar	2026	arxiv 2607.01984
Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance	Matt L. Wiemann, Peter Melchior, Andrew K. Saydjari	2026	arxiv 2607.14466
APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning	Sadegh Jafari, Mohiuddin Bilwal, Fan Zhou	2026	arxiv 2608.05499
Robust and Accurate -- Compositional Architectures for Randomized Smoothing	Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer	2022	arxiv 2204.00487
M-EBM: Towards Understanding the Manifolds of Energy-Based Models	Xiulong Yang, Shihao Ji	2023	arxiv 2303.04343
SDTracker: Synthetic Data Based Multi-Object Tracking	Yingda Guan, Zhengyang Feng, Huiying Chang	2023	arxiv 2303.14653
The Effectiveness of Data Augmentation in Image Classification using Deep Learning	Luis Perez, Jason Wang	2017	arxiv 1712.04621
Categorical Mixture Models on VGGNet activations	Sean Billings	2018	arxiv 1803.02446
Multi-Class Multi-Object Tracking using Changing Point Detection	Byungjae Lee, Enkhbayar Erdenee, Songguo Jin	2016	arxiv 1608.08434
Learned in Translation: Contextualized Word Vectors	Bryan McCann, James Bradbury, Caiming Xiong	2017	arxiv 1708.00107

Search results