This week the thirty seventh annual Convention on Neural Info Processing Methods (NeurIPS 2023), the largest machine studying convention of the yr, kicks off in New Orleans, LA. Google is proud to be a Diamond Degree sponsor of NeurIPS this yr and can have a robust presence with >170 accepted papers, two keynote talks, and extra contributions to the broader analysis group by organizational help and involvement in >20 workshops and tutorials. Google can be proud to be a Platinum Sponsor for each the Girls in Machine Studying and LatinX in AI workshops. We look ahead to sharing a few of our in depth ML analysis and increasing our partnership with the broader ML analysis group.
Attending for NeurIPS 2023 in particular person? Come go to the Google Analysis sales space to be taught extra in regards to the thrilling work we’re doing to resolve among the discipline’s most attention-grabbing challenges. Go to the @GoogleAI X (Twitter) account to seek out out about Google sales space actions (e.g., demos and Q&A classes).
You’ll be able to be taught extra about our newest innovative work being introduced on the convention within the checklist under (Google affiliations highlighted in daring). And see Google DeepMind’s weblog to be taught extra about their participation at NeurIPS 2023.
Nameless Studying through Look-Alike Clustering: A Exact Evaluation of Mannequin Generalization
Adel Javanmard, Vahab Mirrokni
Higher Personal Linear Regression Via Higher Personal Function Choice
Travis Dick, Jennifer Gillenwater*, Matthew Joseph
Binarized Neural Machine Translation
Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat
BoardgameQA: A Dataset for Pure Language Reasoning with Contradictory Info
Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran
Boosting with Tempered Exponential Measures
Richard Nock, Ehsan Amid, Manfred Warmuth
Idea Algebra for (Rating-Primarily based) Textual content-Managed Generative Fashions
Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Deep Contract Design through Discontinuous Networks
Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
Diffusion-SS3D: Diffusion Mannequin for Semi-supervised 3D Object Detection
Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai
Eliciting Consumer Preferences for Personalised Multi-Goal Determination Making by Comparative Suggestions
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter
Gradient Descent with Linearly Correlated Noise: Idea and Purposes to Differential Privateness
Anastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan
Hardness of Low Rank Approximation of Entrywise Remodeled Matrix Merchandise
Tamas Sarlos, Xingyou Music, David P. Woodruff, Qiuyi (Richard) Zhang
Module-wise Adaptive Distillation for Multimodality Basis Fashions
Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
Multi-Swap k-Means++
Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis
OpenMask3D: Open-Vocabulary 3D Occasion Segmentation
Ayça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
Order Issues within the Presence of Dataset Imbalance for Multilingual Studying
Dami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
PopSign ASL v1.0: An Remoted American Signal Language Dataset Collected through Smartphones
Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Invoice Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Corridor, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer
Semi-Implicit Denoising Diffusion Fashions (SIDDMs)
Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
State2Explanation: Idea-Primarily based Explanations to Profit Agent Studying and Consumer Understanding
Devleena Das, Sonia Chernova, Been Kim
StoryBench: A Multifaceted Benchmark for Steady Story Visualization
Emanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
Topic-driven Textual content-to-Picture Era through Apprenticeship Studying
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
TpuGraphs: A Efficiency Prediction Dataset on Massive Tensor Computational Graphs
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi
Coaching Chain-of-Thought through Latent-Variable Inference
Du Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
Unified Decrease Bounds for Interactive Excessive-dimensional Estimation below Info Constraints
Jayadev Acharya, Clement L. Canonne, Ziteng Solar, Himanshu Tyagi
What You See is What You Learn? Bettering Textual content-Picture Alignment Analysis
Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
When Does Confidence-Primarily based Cascade Deferral Suffice?
Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
Accelerating Molecular Graph Neural Networks through Data Distillation
Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger
AVIS: Autonomous Visible Info Looking for with Massive Language Mannequin Agent
Ziniu Hu*, Ahmet Iscen, Chen Solar, Kai-Wei Chang, Yizhou Solar, David Ross, Cordelia Schmid, Alireza Fathi
Past Invariance: Check-Time Label-Shift Adaptation for Addressing “Spurious” Correlations
Qingyao Solar, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour
Collaborative Rating Distillation for Constant Visible Enhancing
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
CommonScenes: Producing Commonsense 3D Indoor Scenes with Scene Graphs
Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
Computational Complexity of Studying Neural Networks: Smoothness and Degeneracy
Amit Daniely, Nathan Srebro, Gal Vardi
A Computationally Environment friendly Sparsified On-line Newton Methodology
Fnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon
DDF-HO: Hand-Held Object Reconstruction through Conditional Directed Distance Subject
Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji
Double Auctions with Two-sided Bandit Suggestions
Soumya Basu, Abishek Sankararaman
Grammar Prompting for Area-Particular Language Era with Massive Language Fashions
Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Inconsistency, Instability, and Generalization Hole of Deep Neural Community Coaching
Rie Johnson, Tong Zhang*
Massive Graph Property Prediction through Graph Section Coaching
Kaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi
On Computing Pairwise Statistics with Native Differential Privateness
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon
On Pupil-teacher Deviations in Distillation: Does it Pay to Disobey?
Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
Optimum Cross-learning for Contextual Bandits with Unknown Context Distributions
Jon Schneider, Julian Zimmert
Close to-Optimum k-Clustering within the Sliding Window Mannequin
David Woodruff, Peilin Zhong, Samson Zhou
Submit Hoc Explanations of Language Fashions Can Enhance Language Fashions
Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
Recommender Methods with Generative Retrieval
Shashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Reinforcement Studying for Advantageous-tuning Textual content-to-Picture Diffusion Fashions
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*
Replicable Clustering
Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou
Replicability in Reinforcement Studying
Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou
Riemannian Projection-free On-line Studying
Zihao Hu, Guanghui Wang, Jacob Abernethy
Sharpness-Conscious Minimization Results in Low-Rank Options
Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
What’s the Inductive Bias of Flatness Regularization? A Examine of Deep Matrix Factorization Fashions
Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka
Block Low-Rank Preconditioner with Shared Foundation for Stochastic Optimization
Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh
Blocked Collaborative Bandits: On-line Collaborative Filtering with Per-Merchandise Price range Constraints
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Boundary Guided Studying-Free Semantic Management with Diffusion Fashions
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Conditional Adapters: Parameter-efficient Switch Studying with Quick Inference
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conformal Prediction for Time Collection with Trendy Hopfield Networks
Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Does Visible Pretraining Assist Finish-to-Finish Reasoning?
Chen Solar, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
Efficient Robustness Towards Pure Distribution Shifts for Fashions with Completely different Coaching Information
Zhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin
Bettering Neural Community Representations Utilizing Human Similarity Judgments
Lukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Ok. Lampinen, Simon Kornblith
Label Sturdy and Differentially Personal Linear Regression: Computational and Statistical Effectivity
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
Mnemosyne: Studying to Prepare Transformers with Transformers
Deepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan
Nash Remorse Ensures for Linear Bandits
Ayush Sawarni, Soumyabrata Pal, Siddharth Barman
A Close to-Linear Time Algorithm for the Chamfer Distance
Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.
On Differentially Personal Sampling from Gaussian and Product Distributions
Badih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi
On Dynamic Programming Decompositions of Static Danger Measures in Markov Determination Processes
Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik
ResMem: Be taught What You Can and Memorize the Relaxation
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
Accountable AI (RAI) Video games and Ensembles
Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar
RoboCLIP: One Demonstration Is Sufficient to Be taught Robotic Insurance policies
Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
Sturdy Idea Erasure through Kernelized Fee-Distortion Maximization
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Sturdy Multi-Agent Reinforcement Studying through Adversarial Regularization: Theoretical Basis and Steady Algorithms
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli
SLaM: Pupil-Label Mixing for Distillation with Unlabeled Examples
Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
SNAP: Self-Supervised Neural Maps for Visible Positioning and Semantic Understanding
Paul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen
SOAR: Improved Indexing for Approximate Nearest Neighbor Search
Philip Solar, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar
StyleDrop: Textual content-to-Picture Synthesis of Any Type
Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
Three Towers: Versatile Contrastive Studying with Pretrained Picture Fashions
Jannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
Two-Stage Studying to Defer with A number of Specialists
Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
AdANNS: A Framework for Adaptive Semantic Search
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi
Cappy: Outperforming and Boosting Massive Multi-Process LMs with a Small Scorer
Bowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen
Causal-structure Pushed Augmentations for Textual content OOD Generalization
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei
Dense-Exponential Random Options: Sharp Optimistic Estimators of the Gaussian Kernel
Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller
Diffusion Hyperfeatures: Looking out Via Time and House for Semantic Correspondence
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
Diffusion Self-Steerage for Controllable Picture Era
Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski
Absolutely Dynamic k-Clustering in Õ(okay) Replace Time
Sayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis
Bettering CLIP Coaching with Language Rewrites
Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
LayoutGPT: Compositional Visible Planning and Era with Massive Language Fashions
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
Offline Reinforcement Studying for Combination-of-Skilled Dialogue Administration
Dhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier
Optimum Unbiased Randomizers for Regression with Label Differential Privateness
Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
Paraphrasing Evades Detectors of AI-generated Textual content, however Retrieval Is an Efficient Protection
Kalpesh Krishna, Yixiao Music, Marzena Karpinska, John Wieting, Mohit Iyyer
ReMaX: Stress-free for Higher Coaching on Environment friendly Panoptic Segmentation
Shuyang Solar*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*
Sturdy and Actively Safe Serverless Collaborative Studying
Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
SpecTr: Quick Speculative Decoding through Optimum Transport
Ziteng Solar, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu
Structured Prediction with Stronger Consistency Ensures
Anqi Mao, Mehryar Mohri, Yutao Zhong
Affinity-Conscious Graph Networks
Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi
ARTIC3D: Studying Sturdy Articulated 3D Shapes from Noisy Net Picture Collections
Chun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
Black-Field Differential Privateness for Interactive ML
Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
Bypassing the Simulator: Close to-Optimum Adversarial Linear Contextual Bandits
Haolin Liu, Chen-Yu Wei, Julian Zimmert
DaTaSeg: Taming a Common Multi-Dataset Multi-Process Segmentation Mannequin
Xiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross
Straightforward Studying from Label Proportions
Robert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina
Environment friendly Information Subset Choice to Generalize Coaching Throughout Fashions: Transductive and Inductive Networks
Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De
Quicker Differentially Personal Convex Optimization through Second-Order Strategies
Arun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta
Discovering Secure Zones of Markov Determination Processes Insurance policies
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Targeted Transformer: Contrastive Coaching for Context Scaling
Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś
Entrance-door Adjustment Past Markov Equivalence with Restricted Graph Data
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
H-Consistency Bounds: Characterization and Extensions
Anqi Mao, Mehryar Mohri, Yutao Zhong
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener, Ofir Nachum, Joan Bruna
Most Neural Networks Are Nearly Learnable
Amit Daniely, Nathan Srebro, Gal Vardi
Multiclass Boosting: Easy and Intuitive Weak Studying Standards
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
NeRF Revisited: Fixing Quadrature Instability in Quantity Rendering
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li
Privateness Amplification through Compression: Reaching the Optimum Privateness-Accuracy-Communication Commerce-off in Distributed Imply Estimation
Wei-Ning Chen, Dan Music, Ayfer Ozgur, Peter Kairouz
Personal Federated Frequency Estimation: Adapting to the Hardness of the Occasion
Jingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman
RETVec: Resilient and Environment friendly Textual content Vectorizer
Elie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin
Symbolic Discovery of Optimization Algorithms
Xiangning Chen*, Chen Liang, Da Huang, Esteban Actual, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
A Story of Two Options: Steady Diffusion Enhances DINO for Zero-Shot Semantic Correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Solar, Ming-Hsuan Yang
A Trichotomy for Transductive On-line Studying
Steve Hanneke, Shay Moran, Jonathan Shafer
A Unified Quick Gradient Clipping Framework for DP-SGD
William Kong, Andres Munoz Medina
Unleashing the Energy of Randomization in Auditing Differentially Personal ML
Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
(Amplified) Banded Matrix Factorization: A unified strategy to personal coaching
Christopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu
Adversarial Resilience in Sequential Prediction through Abstention
Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty
Alternating Gradient Descent and Combination-of-Specialists for Built-in Multimodal Notion
Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Android within the Wild: A Massive-Scale Dataset for Android Machine Management
Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap
Benchmarking Robustness to Adversarial Picture Obfuscations
Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
Constructing Socio-culturally Inclusive Stereotype Sources with Group Engagement
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Consensus and Subjectivity of Pores and skin Tone Annotation for ML Equity
Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco
Counting Distinct Parts Beneath Individual-Degree Differential Privateness
Alexander Knop, Thomas Steinke
DICES Dataset: Variety in Conversational AI Analysis for Security
Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang
Does Progress on ImageNet Switch to Actual-world Datasets?
Alex Fang, Simon Kornblith, Ludwig Schmidt
Estimating Generic 3D Room Buildings from 2D Annotations
Denys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari
Massive Language Mannequin as Attributed Coaching Information Generator: A Story of Variety and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
MADLAD-400: A Multilingual And Doc-Degree Massive Audited Dataset
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
Mechanic: A Studying Fee Tuner
Ashok Cutkosky, Aaron Defazio, Harsh Mehta
NAVI: Class-Agnostic Picture Collections with Excessive-High quality 3D Form and Pose Annotations
Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou
Neural Supreme Massive Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha
Restart Sampling for Bettering Generative Processes
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola
Rethinking Incentives in Recommender Methods: Are Monotone Rewards At all times Useful?
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Revisiting Analysis Metrics for Semantic Segmentation: Optimization and Analysis of Advantageous-grained Intersection over Union
Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko
RoboHive: A Unified Framework for Robotic Studying
Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
SatBird: Fowl Species Distribution Modeling with Distant Sensing and Citizen Science Information
Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick
Sparsity-Preserving Differentially Personal Coaching of Massive Embedding Fashions
Badih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
StableRep: Artificial Photos from Textual content-to-Picture Fashions Make Robust Visible Illustration Learners
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
In direction of Federated Basis Fashions: Scalable Dataset Pipelines for Group-Structured Studying
Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett
Universality and Limitations of Immediate Tuning
Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
Unsupervised Semantic Correspondence Utilizing Steady Diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
YouTube-ASL: A Massive-Scale, Open-Area American Signal Language-English Parallel Corpus
Dave Uthus, Garrett Tanzer, Manfred Georg
The Noise Degree in Linear Regression with Dependent Information
Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni