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Results
Found 4342 publication records. Showing 4342 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo 0001, Mengdi Wang |
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.  |
ICLR  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger |
MocoSFL: enabling cross-client collaborative self-supervised learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré |
Ask Me Anything: A simple strategy for prompting language models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya |
DFPC: Data flow driven pruning of coupled channels without data. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Li-Cheng Lan, Huan Zhang 0001, Cho-Jui Hsieh |
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu 0003, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong |
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Takeshi Koshizuka, Issei Sato |
Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen 0001 |
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger |
MECTA: Memory-Economic Continual Test-Time Model Adaptation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen 0001 |
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Huayu Chen, Cheng Lu 0011, Chengyang Ying, Hang Su 0006, Jun Zhu 0001 |
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra |
Linear Connectivity Reveals Generalization Strategies. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Josua Sassen, Klaus Hildebrandt, Martin Rumpf, Benedikt Wirth |
Parametrizing Product Shape Manifolds by Composite Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luofeng Liao, Yuan Gao, Christian Kroer |
Statistical Inference for Fisher Market Equilibrium. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Olivier Laurent 0002, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi |
Packed Ensembles for efficient uncertainty estimation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan |
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman |
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yixuan Chen 0003, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li 0002, Yujiang Wang 0001, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang 0001, Ning Gu, Li Shang |
Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey Négiar, Michael W. Mahoney, Aditi S. Krishnapriyan |
Learning differentiable solvers for systems with hard constraints. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He 0011, Hui Xue 0001, Shiji Song, Gao Huang |
Budgeted Training for Vision Transformer. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius |
Backpropagation through Combinatorial Algorithms: Identity with Projection Works. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi 0001, Chi-Wing Fu |
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar |
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zehao Niu, Mihai Anitescu, Jie Chen 0007 |
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Hayase, Sewoong Oh |
Few-shot Backdoor Attacks via Neural Tangent Kernels. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikolaos Gkanatsios, Mayank Singh 0016, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki |
Analogy-Forming Transformers for Few-Shot 3D Parsing. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou |
Compositional Semantic Parsing with Large Language Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier |
A Mixture-of-Expert Approach to RL-based Dialogue Management. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Changze Lv, Jianhan Xu, Xiaoqing Zheng |
Spiking Convolutional Neural Networks for Text Classification. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee |
Exploring Temporally Dynamic Data Augmentation for Video Recognition. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Liyuan Xu, Arthur Gretton |
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sirui Xu 0002, Yu-Xiong Wang, Liangyan Gui |
Stochastic Multi-Person 3D Motion Forecasting. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin |
Fisher-Legendre (FishLeg) optimization of deep neural networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang |
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel 0001, Marco Baroni |
Can discrete information extraction prompts generalize across language models? |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Hummos |
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon |
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos |
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Qizhou Wang, Junjie Ye, Feng Liu 0003, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han 0003 |
Out-of-distribution Detection with Implicit Outlier Transformation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry |
Minimum Variance Unbiased N: M Sparsity for the Neural Gradients. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang |
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rui Wang 0086, Yihe Dong, Sercan Ö. Arik, Rose Yu |
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xingchao Liu, Lemeng Wu, Mao Ye 0006, Qiang Liu 0001 |
Learning Diffusion Bridges on Constrained Domains. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan |
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kuan Cheng, Shaofeng H.-C. Jiang, Luojian Wei, Zhide Wei |
On The Relative Error of Random Fourier Features for Preserving Kernel Distance. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, Tong Xu 0001 |
Simple and Scalable Nearest Neighbor Machine Translation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yan Sun, Li Shen 0008, Tiansheng Huang, Liang Ding 0006, Dacheng Tao |
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang |
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai |
Language Models Can Teach Themselves to Program Better. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter |
(Certified!!) Adversarial Robustness for Free! |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu |
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert |
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré |
Effectively Modeling Time Series with Simple Discrete State Spaces. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenyi Hong, Ming Ding 0004, Wendi Zheng, Xinghan Liu, Jie Tang 0001 |
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xianghao Kong, Rob Brekelmans, Greg Ver Steeg |
Information-Theoretic Diffusion. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma 0003, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao 0001 |
Neural Episodic Control with State Abstraction. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Emily Silcock, Luca D'Amico-Wong, Jinglin Yang, Melissa Dell |
Noise-Robust De-Duplication at Scale. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams |
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry |
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuoqing Song, Jason D. Lee, Zhuoran Yang |
Can We Find Nash Equilibria at a Linear Rate in Markov Games? |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li 0002 |
Causality Compensated Attention for Contextual Biased Visual Recognition. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Alexander Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan |
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang 0001 |
Multi-domain image generation and translation with identifiability guarantees. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yongqiang Cai |
Achieve the Minimum Width of Neural Networks for Universal Approximation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Qiying Yu, Yang Liu 0165, Yimu Wang, Ke Xu, Jingjing Liu |
Multimodal Federated Learning via Contrastive Representation Ensemble. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet |
Denoising Diffusion Samplers. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon |
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Stamatios Lefkimmiatis, Iaroslav Koshelev |
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Hang Qiu 0001, Krishna Chintalapudi, Ramesh Govindan |
MCAL: Minimum Cost Human-Machine Active Labeling. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian |
Systematic Rectification of Language Models via Dead-end Analysis. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Shahana Ibrahim, Tri Nguyen, Xiao Fu 0001 |
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Fangzhou Hong, Zhaoxi Chen 0009, Yushi Lan, Liang Pan, Ziwei Liu 0002 |
EVA3D: Compositional 3D Human Generation from 2D Image Collections. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Hongyan Chang, Reza Shokri |
Bias Propagation in Federated Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Niklas Nolte, Ouail Kitouni, Mike Williams |
Expressive Monotonic Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Thomas Pierrot, Arthur Flajolet |
Evolving Populations of Diverse RL Agents with MAP-Elites. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman |
Planning Goals for Exploration. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Zheng Dong, Xiuyuan Cheng, Yao Xie 0002 |
Spatio-temporal point processes with deep non-stationary kernels. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Jikai Jin, Yiping Lu 0001, José H. Blanchet, Lexing Ying |
Minimax Optimal Kernel Operator Learning via Multilevel Training. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis |
Hebbian Deep Learning Without Feedback. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Xuyang Zhao, Tianqi Du, Yisen Wang 0001, Jun Yao, Weiran Huang 0001 |
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuanqing Wang, John D. Chodera |
Spatial Attention Kinetic Networks with E(n)-Equivariance. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Mixue Xie, Shuang Li 0008, Rui Zhang, Chi Harold Liu |
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal |
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi |
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu 0002, Yingfeng Chen, Changjie Fan |
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Wenbo Gong 0001, Joel Jennings, Cheng Zhang 0005, Nick Pawlowski |
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Wenhao Yu 0002, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal 0001, Chenguang Zhu 0001, Michael Zeng 0001, Meng Jiang 0001 |
Generate rather than Retrieve: Large Language Models are Strong Context Generators. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yi Li 0002, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff |
Learning the Positions in CountSketch. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang |
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar |
Choreographer: Learning and Adapting Skills in Imagination. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Chao Pan 0003, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic |
Machine Unlearning of Federated Clusters. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai |
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoran Sun, Bo Dai 0001, Charles Sutton, Dale Schuurmans, Hanjun Dai |
Any-scale Balanced Samplers for Discrete Space. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Mark Niklas Müller, Franziska Eckert, Marc Fischer 0002, Martin T. Vechev |
Certified Training: Small Boxes are All You Need. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Qiang Wang, Haoge Deng, Yonggang Qi, Da Li 0001, Yi-Zhe Song |
SketchKnitter: Vectorized Sketch Generation with Diffusion Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam |
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi 0001 |
Generating Sequences by Learning to Self-Correct. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Qinsheng Zhang, Molei Tao, Yongxin Chen |
gDDIM: Generalized denoising diffusion implicit models. |
ICLR |
2023 |
DBLP BibTeX RDF |
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