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Found 13049 publication records. Showing 13049 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Yiyou Sun, Zhenmei Shi, Yixuan Li |
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.  |
NeurIPS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Duc Hoang, Souvik Kundu 0009, Shiwei Liu, Zhangyang Wang |
Don't just prune by magnitude! Your mask topology is a secret weapon. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon |
Individual Arbitrariness and Group Fairness. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chaoqi Chen, Luyao Tang, Yue Huang 0001, Xiaoguang Han 0001, Yizhou Yu |
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Mher Safaryan, Alexandra Peste, Dan Alistarh |
Knowledge Distillation Performs Partial Variance Reduction. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco |
Robust low-rank training via approximate orthonormal constraints. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli |
How a Student becomes a Teacher: learning and forgetting through Spectral methods. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li |
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, Jim Glass |
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Don Kurian Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith |
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen 0001, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert |
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Georgios Chionas, Dariusz R. Kowalski, Piotr Krysta |
Combinatorial Group Testing with Selfish Agents. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi |
Practical Equivariances via Relational Conditional Neural Processes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li |
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | 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 |
StyleDrop: Text-to-Image Synthesis of Any Style. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aditya Vardhan Varre, Maria-Luiza Vladarean, Loucas Pillaud-Vivien, Nicolas Flammarion |
On the spectral bias of two-layer linear networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jinrang Jia, Zhenjia Li, Yifeng Shi |
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero |
Interpretable Graph Networks Formulate Universal Algebra Conjectures. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhong-Qiu Wang, Shinji Watanabe 0001 |
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher De Sa |
Riemannian Residual Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng 0001, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang |
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Suyash Gupta, Dominik Rothenhäusler |
The s-value: evaluating stability with respect to distributional shifts. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Namkyeong Lee, Heewoong Noh, Sungwon Kim 0002, Dongmin Hyun, Gyoung S. Na, Chanyoung Park |
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Spencer Frei, Gal Vardi, Peter L. Bartlett, Nati Srebro |
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ian Char, Jeff Schneider |
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthew Bendel, Rizwan Ahmad, Philip Schniter |
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Injae Kim, Minhyuk Choi, Hyunwoo J. Kim |
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden |
Utilitarian Algorithm Configuration. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren |
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar |
ResMem: Learn what you can and memorize the rest. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yeshu Li, Brian D. Ziebart |
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan |
Retrieval-Augmented Multiple Instance Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing |
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jie Ma, Tianyi Zhou 0001, Guodong Long, Jing Jiang 0002, Chengqi Zhang |
Structured Federated Learning through Clustered Additive Modeling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah |
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zitong Sam Chen, Chau Pham 0001, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo |
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan |
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar |
When Does Confidence-Based Cascade Deferral Suffice? |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas |
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing |
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Li Fan, Ruida Zhou, Chao Tian 0002, Cong Shen 0001 |
Federated Linear Bandits with Finite Adversarial Actions. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Marcus Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski |
Bayesian target optimisation for high-precision holographic optogenetics. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Velickovic, Sreenivas Gollapudi |
Affinity-Aware Graph Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu |
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov |
Energy Transformer. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso A. Poggio |
Norm-based Generalization Bounds for Sparse Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic |
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun 0002 |
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine |
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Baohao Liao, Shaomu Tan, Christof Monz |
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang |
Exposing Attention Glitches with Flip-Flop Language Modeling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaifu Wang, Efthymia Tsamoura, Dan Roth |
On Learning Latent Models with Multi-Instance Weak Supervision. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue |
Probabilistic Inference in Reinforcement Learning Done Right. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Di Wang 0023, Jing Zhang 0037, Bo Du 0001, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang 0001 |
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi 0001 |
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ruihan Yang, Stephan Mandt |
Lossy Image Compression with Conditional Diffusion Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang 0001, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen |
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu |
Uncovering motifs of concurrent signaling across multiple neuronal populations. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan |
Emergent Correspondence from Image Diffusion. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xing Wei, Anjia Cao, Funing Yang, Zhiheng Ma |
Sparse Parameterization for Epitomic Dataset Distillation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang 0008, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang 0001 |
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer |
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Chudi Zhong, Zhi Chen 0009, Jiachang Liu 0001, Margo I. Seltzer, Cynthia Rudin |
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt |
Improving multimodal datasets with image captioning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas 0004, Vikas Singh, Shuai Zheng |
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Emily Silcock, Abhishek Arora 0003, Melissa Dell |
A Massive Scale Semantic Similarity Dataset of Historical English. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Edith Cohen, Xin Lyu 0002 |
The Target-Charging Technique for Privacy Analysis across Interactive Computations. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Junyu Zhang, Daochang Liu, Shichao Zhang 0001, Chang Xu |
Contrastive Sampling Chains in Diffusion Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tongtong Fang, Nan Lu, Gang Niu 0001, Masashi Sugiyama |
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Bin Huang, Jiaqian Yu, Yiwei Chen, Siyang Pan, Qiang Wang, Zhi Wang |
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | David P. Woodruff, Peilin Zhong, Samson Zhou |
Near-Optimal k-Clustering in the Sliding Window Model. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang |
Spectral Evolution and Invariance in Linear-width Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yining Ma 0001, Zhiguang Cao, Yeow Meng Chee |
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman |
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton |
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho |
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu 0001, Masashi Sugiyama, Bo Han 0003 |
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xuhong Li 0002, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong |
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell |
Score-based Source Separation with Applications to Digital Communication Signals. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh |
Unleashing the Power of Randomization in Auditing Differentially Private ML. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang 0004, Jinyang Li 0004, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher |
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhekai Du, Jingjing Li 0001 |
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown |
Expressive probabilistic sampling in recurrent neural networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu |
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang 0002 |
MixFormerV2: Efficient Fully Transformer Tracking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu 0002, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang |
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yung-Hsuan Lai, Yen-Chun Chen 0001, Frank Wang |
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma 0001, Neil Shah, Jiliang Tang, Dawei Yin |
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuhao Mao, Mark Niklas Müller, Marc Fischer 0002, Martin T. Vechev |
Connecting Certified and Adversarial Training. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun |
An Information Theory Perspective on Variance-Invariance-Covariance Regularization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Fang Wu, Stan Z. Li |
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Marc Marone, Benjamin Van Durme |
Data Portraits: Recording Foundation Model Training Data. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi |
Provable Training for Graph Contrastive Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zijian Zhou 0002, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi |
Text Promptable Surgical Instrument Segmentation with Vision-Language Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xiaotong Luo, Yuan Xie 0006, Yanyun Qu |
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran |
BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik |
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao |
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Bidipta Sarkar, Andy Shih, Dorsa Sadigh |
Diverse Conventions for Human-AI Collaboration. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin |
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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