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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 | Andrew Lowy, Devansh Gupta, Meisam Razaviyayn |
Stochastic Differentially Private and Fair Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Noam Touitou, Nissim Halabi |
Approximate Nearest Neighbor Search through Modern Error-Correcting Codes. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart |
Learning Soft Constraints From Constrained Expert Demonstrations. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP |
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Bo Li 0125, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu 0002 |
Sparse Mixture-of-Experts are Domain Generalizable Learners. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Matus Telgarsky |
Feature selection and low test error in shallow low-rotation ReLU networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Michael Crawshaw, Yajie Bao, Mingrui Liu |
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec |
Learning Controllable Adaptive Simulation for Multi-resolution Physics. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Haiyan Yin, Shuicheng Yan, Zhongwen Xu |
Distributional Meta-Gradient Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix |
Guiding continuous operator learning through Physics-based boundary constraints. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Benjamin Hsu, Anna Currey, Xing Niu 0001, Maria Nadejde, Georgiana Dinu |
Pseudo-label Training and Model Inertia in Neural Machine Translation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Andrew Lowy, Meisam Razaviyayn |
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Zihan Zhou, Animesh Garg |
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Jun-Kun Wang, Andre Wibisono |
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Justin D. Li, Matus Telgarsky |
On Achieving Optimal Adversarial Test Error. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Jie Ren 0006, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu |
Out-of-Distribution Detection and Selective Generation for Conditional Language Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun |
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Bowen Jin, Yu Zhang 0044, Yu Meng 0001, Jiawei Han 0001 |
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Feng Wang 0047, Manling Li, Xudong Lin 0003, Hairong Lv, Alexander G. Schwing, Heng Ji |
Learning to Decompose Visual Features with Latent Textual Prompts. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu 0001 |
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Thomas Möllenhoff, Mohammad Emtiyaz Khan |
SAM as an Optimal Relaxation of Bayes. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang 0002, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das 0001, Jason Wei |
Language models are multilingual chain-of-thought reasoners. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan |
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang |
Compositional Task Representations for Large Language Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer |
Context-enriched molecule representations improve few-shot drug discovery. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Corinna Coupette, Sebastian Dalleiger, Bastian Rieck |
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Junnan Li 0001, Silvio Savarese, Steven C. H. Hoi |
Masked Unsupervised Self-training for Label-free Image Classification. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha 0001, Jaesik Choi |
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun |
On the duality between contrastive and non-contrastive self-supervised learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano |
Deep Learning on Implicit Neural Representations of Shapes. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang 0002, Yongzhe Chang, Xueqian Wang |
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis |
Towards convergence to Nash equilibria in two-team zero-sum games. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi |
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang 0005, Caiming Xiong, Mingyuan Zhou, Huan Wang |
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Ziyang Xie, Junge Zhang, Wenye Li 0002, Feihu Zhang, Li Zhang 0001 |
S-NeRF: Neural Radiance Fields for Street Views. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen |
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu |
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky |
On the Performance of Temporal Difference Learning With Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters 0001 |
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Jianshu Chen |
Learning Language Representations with Logical Inductive Bias. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Alasdair Tran, Alexander Patrick Mathews, Lexing Xie, Cheng Soon Ong |
Factorized Fourier Neural Operators. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Hehe Fan, Zhangyang Wang, Yi Yang 0001, Mohan S. Kankanhalli |
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Jiefeng Chen 0001, Timothy Nguyen, Dilan Görür, Arslan Chaudhry |
Is Forgetting Less a Good Inductive Bias for Forward Transfer? |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Gianluigi Silvestri, Daan Roos, Luca Ambrogioni |
Deterministic training of generative autoencoders using invertible layers. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Yuechen Yu, Yulin Li, Chengquan Zhang, Xiaoqiang Zhang 0006, Zengyuan Guo, Xiameng Qin, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang 0001 |
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit Haim Bermano |
Human Motion Diffusion Model. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Huan Wang, Yun Fu 0001 |
Trainability Preserving Neural Pruning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Ziang Chen, Jialin Liu 0003, Xinshang Wang, Wotao Yin |
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Quanlin Wu, Hang Ye 0002, Yuntian Gu, Huishuai Zhang, Liwei Wang 0001, Di He 0001 |
Denoising Masked Autoencoders Help Robust Classification. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein |
Fast Nonlinear Vector Quantile Regression. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye |
Efficient Federated Domain Translation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue 0001 |
Inequality phenomenon in l∞-adversarial training, and its unrealized threats. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang 0001, Louis-Philippe Morency, Ruslan Salakhutdinov |
MultiViz: Towards Visualizing and Understanding Multimodal Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Tao Yu, Christopher De Sa |
Random Laplacian Features for Learning with Hyperbolic Space. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Martin Zong, Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang |
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum |
Dichotomy of Control: Separating What You Can Control from What You Cannot. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan |
Robust Scheduling with GFlowNets. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao |
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
1 | Jiachen Hu, Han Zhong 0001, Chi Jin, Liwei Wang 0001 |
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li 0002, Quanzheng Li |
FedDAR: Federated Domain-Aware Representation Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Tiago Pimentel, Clara Meister, Ryan Cotterell |
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Jinxi Xiang, Kuan Tian, Jun Zhang |
MIMT: Masked Image Modeling Transformer for Video Compression. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Haichao Zhang 0001, Wei Xu 0017, Haonan Yu |
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella |
PASHA: Efficient HPO and NAS with Progressive Resource Allocation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Shiwei Liu, Tianlong Chen, Zhenyu Zhang 0015, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang |
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Ivona Najdenkoska, Xiantong Zhen, Marcel Worring |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang |
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Ping-yeh Chiang, Renkun Ni, David Yu Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein |
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Tahereh Toosi, Elias B. Issa |
Brain-like representational straightening of natural movies in robust feedforward neural networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun |
Understanding new tasks through the lens of training data via exponential tilting. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yutong Xie, Ziqiao Xu, Jiaqi Ma 0001, Qiaozhu Mei |
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma 0001, Denny Zhou |
What learning algorithm is in-context learning? Investigations with linear models. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Chen Huang 0001, Hanlin Goh, Jiatao Gu, Joshua M. Susskind |
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee 0001, Sung Ju Hwang |
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon |
DepthFL : Depthwise Federated Learning for Heterogeneous Clients. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu 0002, Jakob Nicolaus Foerster |
Adversarial Diversity in Hanabi. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard |
Proposal-Contrastive Pretraining for Object Detection from Fewer Data. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee |
A Non-monotonic Self-terminating Language Model. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Haitian Sun, William W. Cohen, Ruslan Salakhutdinov |
Scenario-based Question Answering with Interacting Contextual Properties. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher J. Hillar |
Bispectral Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang 0005 |
Protein Representation Learning by Geometric Structure Pretraining. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yang Jiao, Kai Yang 0001, Tiancheng Wu, Dongjin Song, Chengtao Jian |
Asynchronous Distributed Bilevel Optimization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yi Zeng 0005, Zhouxing Shi, Ming Jin 0002, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia 0001 |
Towards Robustness Certification Against Universal Perturbations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Amit Daniely, Elad Granot |
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin 0003, Liwei Wang, Zehuan Yuan |
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly |
PowerQuant: Automorphism Search for Non-Uniform Quantization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li 0002, Zhaoran Wang 0001, Sujay Sanghavi, Dale Schuurmans, Bo Dai 0001 |
Latent Variable Representation for Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto |
Masked Vision and Language Modeling for Multi-modal Representation Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Zeyuan Allen-Zhu, Yuanzhi Li |
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Kha Pham, Hung Le, Man Ngo, Truyen Tran 0001 |
Improving Out-of-distribution Generalization with Indirection Representations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Will Dorrell, Peter E. Latham, Tim E. J. Behrens, James C. R. Whittington |
Actionable Neural Representations: Grid Cells from Minimal Constraints. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yu-Neng Chuang, Guanchu Wang, Fan Yang 0023, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu |
CoRTX: Contrastive Framework for Real-time Explanation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Yijie Wang, Yuan Zhou 0007, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma |
Learning Sparse Group Models Through Boolean Relaxation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Scott Sussex, Anastasia Makarova, Andreas Krause 0001 |
Model-based Causal Bayesian Optimization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Zhennan Wu, Yang Li, Yifei Huang, Lin Gu 0003, Tatsuya Harada, Hiroyuki Sato |
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord |
DiffEdit: Diffusion-based semantic image editing with mask guidance. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke |
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu 0001, Chi-Keung Tang, Bernt Schiele, Dengxin Dai |
Towards Robust Object Detection Invariant to Real-World Domain Shifts. |
ICLR |
2023 |
DBLP BibTeX RDF |
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1 | Vy Vo, Van Nguyen 0002, Trung Le, Quan Hung Tran, Reza Haf, Seyit Camtepe, Dinh Phung 0001 |
An Additive Instance-Wise Approach to Multi-class Model Interpretation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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