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Results
Found 13049 publication records. Showing 13049 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Y. Zou, Louis-Philippe Morency, Ruslan Salakhutdinov |
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy.  |
NeurIPS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima |
Regularizing Neural Networks with Meta-Learning Generative Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chi Gao, Zidong Zhou, Luping Shi |
Noether Embedding: Efficient Learning of Temporal Regularities. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuyao Li, Yu Cheng 0002, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge 0001, Stephen J. Wright 0001 |
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Feiyang Wu, Jingyang Ke, Anqi Wu |
Inverse Reinforcement Learning with the Average Reward Criterion. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel |
Variational Gaussian Processes with Decoupled Conditionals. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg |
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Travis Dick, Jennifer Gillenwater, Matthew Joseph |
Better Private Linear Regression Through Better Private Feature Selection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets |
PROTES: Probabilistic Optimization with Tensor Sampling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio |
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Diederik P. Kingma, Ruiqi Gao |
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kai Han 0003, You Wu, He Huang, Shuang Cui |
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee |
Visual Instruction Tuning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu 0002 |
What Makes Good Examples for Visual In-Context Learning? |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller 0005, Frank Hutter |
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kavosh Asadi, Shoham Sabach, Yao Liu 0009, Omer Gottesman, Rasool Fakoor |
TD Convergence: An Optimization Perspective. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wei Dong, Dawei Yan, Zhijun Lin, Peng Wang |
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan |
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao |
Mirror Diffusion Models for Constrained and Watermarked Generation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jingjing Li, Wei Ji, Size Wang, Wenbo Li, Li Cheng 0001 |
DVSOD: RGB-D Video Salient Object Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nurendra Choudhary, Nikhil Rao 0001, Chandan K. Reddy |
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ruicheng Xian, Honglei Zhuang, Zhen Qin 0001, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui 0001, Han Zhao 0002, Xuanhui Wang, Michael Bendersky |
Learning List-Level Domain-Invariant Representations for Ranking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan |
DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng |
On Calibrating Diffusion Probabilistic Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham 0001, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le |
Symbolic Discovery of Optimization Algorithms. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas 0001, Paritosh Verma |
Refined Mechanism Design for Approximately Structured Priors via Active Regression. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zixing Song, Yifei Zhang, Irwin King |
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Stefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee |
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhongli Jiang, Dabao Zhang |
Analysis of Variance of Multiple Causal Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari |
Estimating Generic 3D Room Structures from 2D Annotations. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld |
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi |
Neural Priming for Sample-Efficient Adaptation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar |
Learning to Reason and Memorize with Self-Notes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter |
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin |
Block-State Transformers. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So |
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng 0001, Jianxin Li 0002 |
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jaemoo Choi, Jaewoong Choi, Myungjoo Kang |
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ao Zhang, Hao Fei 0001, Yuan Yao, Wei Ji 0008, Li Li 0091, Zhiyuan Liu, Tat-Seng Chua |
VPGTrans: Transfer Visual Prompt Generator across LLMs. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao |
On the Exploration of Local Significant Differences For Two-Sample Test. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yinshuang Xu, Jiahui Lei, Kostas Daniilidis |
SE(3) Equivariant Convolution and Transformer in Ray Space. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenjing Yan, Xuanyu Cao |
Zero-Regret Performative Prediction Under Inequality Constraints. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhun Deng, Thomas P. Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel |
Distribution-Free Statistical Dispersion Control for Societal Applications. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová |
Universality laws for Gaussian mixtures in generalized linear models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yu Pan 0005, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu |
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang |
RRHF: Rank Responses to Align Language Models with Human Feedback. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu, Li Cheng, Youliang Yan, Songcen Xu, Xiaofei Wu |
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shivam Gupta 0002, Jasper C. H. Lee, Eric Price 0001, Paul Valiant |
Minimax-Optimal Location Estimation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson |
Grounding Neural Inference with Satisfiability Modulo Theories. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li 0011, Gari D. Clifford, Roger G. Mark |
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M.-C. Höhne |
Labeling Neural Representations with Inverse Recognition. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric Neyman, Tim Roughgarden |
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenxuan Ma 0001, Shuang Li 0001, Lincan Cai, Jingxuan Kang |
Language Semantic Graph Guided Data-Efficient Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | James Oldfield 0001, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras |
Parts of Speech-Grounded Subspaces in Vision-Language Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthias Minderer, Alexey A. Gritsenko, Neil Houlsby |
Scaling Open-Vocabulary Object Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou |
Preference-grounded Token-level Guidance for Language Model Fine-tuning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret |
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller 0001 |
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joey Hejna, Dorsa Sadigh |
Inverse Preference Learning: Preference-based RL without a Reward Function. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib |
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaoyuan Zhang, Xi Lin 0001, Bo Xue, Yifan Chen, Qingfu Zhang 0001 |
Hypervolume Maximization: A Geometric View of Pareto Set Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony J. Yezzi |
Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nathaniel Lahn, Sharath Raghvendra, Kaiyi Zhang 0004 |
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Blake Bordelon, Cengiz Pehlevan |
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yanbo Chen, Weiwei Liu |
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haggai Agmon, Yoram Burak |
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu |
Meta-Learning Adversarial Bandit Algorithms. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard |
Model-free Posterior Sampling via Learning Rate Randomization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jinxi Li, Ziyang Song, Bo Yang |
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Badri N. Patro, Vijay Srinivas Agneeswaran |
Scattering Vision Transformer: Spectral Mixing Matters. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien |
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luke Taylor, Andrew King, Nicol S. Harper |
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sarah M. Hooper, Mayee F. Chen, Khaled Saab 0002, Kush Bhatia, Curtis P. Langlotz, Christopher Ré |
A case for reframing automated medical image classification as segmentation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas |
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tong Wu, Zhihao Fan, Xiao Liu 0029, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao 0007, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen |
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski |
Minimum Description Length and Generalization Guarantees for Representation Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok |
A Fractional Graph Laplacian Approach to Oversmoothing. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang |
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jia Guo, Shuai Lu 0003, Lize Jia, Weihang Zhang, Huiqi Li |
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull |
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness |
Self-Predictive Universal AI. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal |
Parallel-mentoring for Offline Model-based Optimization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lee M. Gunderson, Gecia Bravo Hermsdorff, Peter Orbanz |
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuxin Pan, Yize Chen, Fangzhen Lin |
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg |
Learning to Taste: A Multimodal Wine Dataset. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | David Recasens, Martin R. Oswald, Marc Pollefeys, Javier Civera 0001 |
The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell |
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim |
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie |
Formalizing locality for normative synaptic plasticity models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yian Deng, Tingting Mu |
Understanding and Improving Ensemble Adversarial Defense. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon |
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kun Song 0004, Huimin Ma 0001, Bochao Zou, Huishuai Zhang, Weiran Huang 0001 |
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu 0001 |
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yilan Chen 0002, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng |
Analyzing Generalization of Neural Networks through Loss Path Kernels. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Binhui Xie, Shuang Li 0008, Qingju Guo, Chi Harold Liu, Xinjing Cheng |
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz |
Meta-in-context learning in large language models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Michael Scholkemper, Michael T. Schaub |
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Maximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo 0001 |
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang 0001, Dong Wang, Bin Zhao 0001, Xuelong Li 0001 |
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma 0001, Te Ye, Jiahai Wang |
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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