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Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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57,481 to 57,540 of 61,255
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020Neural Turing Machines
Alex Graves, Greg Wayne, Ivo Danihelka
cs.NEarXiv:1410.5401v22014SwiftVR: Real-Time One-Step Generative Video Restoration
Jiaqi Yan, Xiangyu Chen, Xinlin Zhong +5
cs.CVarXiv:2606.09516v12026Certified Adversarial Robustness via Randomized Smoothing
Jeremy M Cohen, Elan Rosenfeld, J. Zico Kolter
cs.LGstat.MLarXiv:1902.02918v22019Waste Not, Want Not: Why Rarefying Microbiome Data is Inadmissible
Paul J. McMurdie, Susan Holmes
q-bio.QMq-bio.GNstat.AParXiv:1310.0424v22013PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh +1
cs.CLarXiv:1912.08777v32019EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han, Xingyu Liu, Huizi Mao +4
cs.CVcs.ARarXiv:1602.01528v22016Emergent Misalignment Can Be Induced by Sycophancy and Reversed via Alignment Gating
Sicheng Wang, Xiangyang Zhu, Han Wang +6
cs.CLarXiv:2606.09068v12026Frustum PointNets for 3D Object Detection from RGB-D Data
Charles R. Qi, Wei Liu, Chenxia Wu +2
cs.CVarXiv:1711.08488v22017Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis +7
cs.CLcs.LGarXiv:1912.06670v22019Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang, Phillip Isola
cs.LGcs.CVstat.MLarXiv:2005.10242v102020Methods for Interpreting and Understanding Deep Neural Networks
Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
cs.LGstat.MLarXiv:1706.07979v12017When Behavioral Safety Evaluation Fails: A Representation-Level Perspective
Enyi Jiang, Anders Gjølbye, Yibo Jacky Zhang +1
cs.LGcs.AIcs.CLarXiv:2606.08044v22026On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit +5
stat.MLcs.LGarXiv:1806.08734v32018Revisiting Articulated Parts Perception in Robot Manipulation
Xiaoqian Wu, Yejie Guo, Xiaoyang Chen +3
cs.ROcs.CVarXiv:2606.08103v12026Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying, Jiaxuan You, Christopher Morris +3
cs.LGcs.NEcs.SIarXiv:1806.08804v42018Phase Marginalization for Patch-Grid Instability in Vision Transformers
Oğuzhan Ercan
cs.CVcs.LGarXiv:2606.08132v12026A Comparative Analysis of XGBoost
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
cs.LGstat.MLarXiv:1911.01914v12019PVT v2: Improved Baselines with Pyramid Vision Transformer
Wenhai Wang, Enze Xie, Xiang Li +6
cs.CVarXiv:2106.13797v72021Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
cs.LGarXiv:1603.08861v22016Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly +3
cs.CVcs.LGstat.MLarXiv:1810.03292v32018PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
Suraj Ranganath, Anish Raghavendra
cs.LGcs.AIcs.DBarXiv:2606.08481v12026OmniCap-IF: Benchmarking and Improving Instruction Following Abilities for Omni-Video Captioning
Jiahao Wang, An Ping, Yanghai Wang +13
cs.CVarXiv:2606.08572v12026DGM: A deep learning algorithm for solving partial differential equations
Justin Sirignano, Konstantinos Spiliopoulos
q-fin.MFmath.NAq-fin.CParXiv:1708.07469v52017Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
Vasimuddin Md, Sanchit Misra, Heng Li +1
cs.DCcs.CEcs.PFarXiv:1907.12931v12019Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
cs.CLcs.AIcs.CYarXiv:2206.04615v32022MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training
Lianyu Pang, Tianlin Pan, Cheng Da +5
cs.CVarXiv:2606.08788v12026Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
cs.LGarXiv:1609.06570v12016SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
cs.LGcs.AIarXiv:1609.05473v62016OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics
Mingxian Lin, Shengju Qian, Yuqi Liu +9
cs.CVcs.AIarXiv:2606.09826v12026End-to-End Context Compression at Scale
Ang Li, Sean McLeish, Haozhe Chen +12
cs.CLcs.AIcs.LGarXiv:2606.09659v12026One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi
cs.LGcs.CVstat.MLarXiv:1710.08864v72017ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang, Peize Sun, Yi Jiang +6
cs.CVarXiv:2110.06864v32021Model-Based Compressive Sensing
Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte +1
cs.ITarXiv:0808.3572v52008BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts
Kazi Noshin, Sajib Acharjee Dip, Ranat Das Prangon +4
cs.CLarXiv:2606.10061v12026Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation
Siyuan Liu, Jinyang Wu
cs.AIcs.CLcs.CVarXiv:2606.09131v12026MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
Ishaan Preetam Chandratreya, David Charatan, Basile Van Hoorick +4
cs.CVcs.LGarXiv:2606.09056v12026CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam, Bohyung Han
cs.CVarXiv:1510.07945v22015BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark, Kenton Lee, Ming-Wei Chang +3
cs.CLarXiv:1905.10044v12019$τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems
Bharath Sivaram Narasimhan, Karthik R Narasimhan
cs.IRcs.AIcs.CLarXiv:2606.10156v32026Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan +3
eess.IVcs.CVcs.LGarXiv:2104.07636v22021Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors
Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins +3
cs.ETarXiv:1412.0611v12014MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg +5
cs.LGphysics.chem-phstat.MLarXiv:1703.00564v32017RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan, Noah Brown, Justice Carbajal +48
cs.ROcs.AIcs.CLarXiv:2212.06817v22022Generating Long Sequences with Sparse Transformers
Rewon Child, Scott Gray, Alec Radford +1
cs.LGstat.MLarXiv:1904.10509v12019Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu +5
cs.CLcs.LGstat.MLarXiv:1909.08593v22019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9
cs.LGstat.MLarXiv:1911.08265v22019Stability Selection
Nicolai Meinshausen, Peter Buehlmann
stat.MEarXiv:0809.2932v22008The Security of Practical Quantum Key Distribution
Valerio Scarani, Helle Bechmann-Pasquinucci, Nicolas J. Cerf +3
quant-pharXiv:0802.4155v32008A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain +9
cs.LGcs.AIcs.CVarXiv:2011.06225v420201D Convolutional Neural Networks and Applications: A Survey
Serkan Kiranyaz, Onur Avci, Osama Abdeljaber +3
eess.SPcs.AIarXiv:1905.03554v12019Crowdsourcing a Word-Emotion Association Lexicon
Saif M. Mohammad, Peter D. Turney
cs.CLarXiv:1308.6297v12013Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han, Quanming Yao, Xingrui Yu +5
cs.LGstat.MLarXiv:1804.06872v32018Deep Learning for Medical Image Analysis
Mina Rezaei, Haojin Yang, Christoph Meinel
cs.CVarXiv:1708.08987v12017Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie +1
cs.CVcs.LGstat.MLarXiv:1804.04732v22018Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker +1
cs.LGcs.AIstat.MLarXiv:2005.01643v32020Counterfactual Multi-Agent Policy Gradients
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras +2
cs.AIcs.MAarXiv:1705.08926v32017Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub M. Tomczak, Max Welling
cs.LGstat.MLarXiv:1802.04712v42018Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
cs.LGcs.CVcs.NEarXiv:1502.04681v32015