Ruslan Salakhutdinov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
144
Venues
26
Active years
2003–2025
Best venue rank
A*
Where they publish
- A*ICLR37 papers
- A*ICML32 papers
- A*ACL14 papers
- A*CVPR8 papers
- A*EMNLP7 papers
- A*ICCV5 papers
- ANAACL5 papers
- AAISTATS4 papers
- A*ECCV3 papers
- MulticonferenceICASSP3 papers
- A*AAAI3 papers
- AUAI3 papers
- AIROS2 papers
- UnrankedCoRL2 papers
- BCOLING2 papers
- A*IJCAI2 papers
- A*KDD2 papers
- BCogSci2 papers
- A*ICRA1 paper
- A*CHI1 paper
- BICMI1 paper
- CAIES1 paper
- AInterspeech1 paper
- AAIED1 paper
- ABMVC1 paper
- A*ICDM1 paper
Papers
144 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Optimizing Test-Time Compute via Meta Reinforcement Finetuning. | Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar |
| 2025 | ICRA | Local Policies Enable Zero-Shot Long-Horizon Manipulation. | Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov |
| 2025 | IROS | Neural MP: A Neural Motion Planner. | Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Ruslan Salakhutdinov, Deepak Pathak |
| 2024 | ECCV | OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web. | Raghav Kapoor, Yash Parag Butala, Melisa Russak, Jing Yu Koh, Kiran Kamble, Waseem AlShikh, Ruslan Salakhutdinov |
| 2024 | ECCV | Situated Instruction Following. | So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi |
| 2024 | ICLR | Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks. | Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov |
| 2024 | ICLR | Manifold Preserving Guided Diffusion. | Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon |
| 2024 | ICLR | Confronting Reward Model Overoptimization with Constrained RLHF. | Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer |
| 2024 | ICLR | Effective Data Augmentation With Diffusion Models. | Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov |
| 2024 | ICLR | Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. | Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine |
| 2024 | ICLR | Contrastive Difference Predictive Coding. | Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach |
| 2023 | ACL | Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control. | Xiang Fan, Yiwei Lyu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2023 | ACL | Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment. | Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2023 | CHI | MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. | Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2023 | CoRL | Imitating Task and Motion Planning with Visuomotor Transformers. | Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox |
| 2023 | ICLR | MultiViz: Towards Visualizing and Understanding Multimodal Models. | Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2023 | ICLR | Scenario-based Question Answering with Interacting Contextual Properties. | Haitian Sun, William W. Cohen, Ruslan Salakhutdinov |
| 2023 | ICLR | A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search. | Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov |
| 2023 | ICMI | Multimodal Fusion Interactions: A Study of Human and Automatic Quantification. | Paul Pu Liang, Yun Cheng, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2023 | ICML | A Connection between One-Step RL and Critic Regularization in Reinforcement Learning. | Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov |
| 2023 | ICML | Grounding Language Models to Images for Multimodal Inputs and Outputs. | Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried |
| 2023 | IROS | Self-Supervised Object Goal Navigation with In-Situ Finetuning. | So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang |
| 2022 | ACL | ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. | Haitian Sun, William W. Cohen, Ruslan Salakhutdinov |
| 2022 | ACL | FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. | Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang |
| 2022 | AIES | DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations. | Yiwei Lyu, Paul Pu Liang, Zihao Deng, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2022 | ECCV | PACS: A Dataset for Physical Audiovisual CommonSense Reasoning. | Samuel Yu, Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2022 | EMNLP | Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue. | So Yeon Min, Hao Zhu, Ruslan Salakhutdinov, Yonatan Bisk |
| 2022 | EMNLP | Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. | Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2022 | ICLR | The Information Geometry of Unsupervised Reinforcement Learning. | Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine |
| 2022 | ICLR | FILM: Following Instructions in Language with Modular Methods. | So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov |
| 2022 | ICLR | Learning Weakly-supervised Contrastive Representations. | Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2022 | ICLR | Conditional Contrastive Learning with Kernel. | Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2022 | ICLR | C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. | Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez |
| 2022 | ICML | Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs. | Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov |
| 2021 | ACL | Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data. | Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nicholas B. Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2021 | ICASSP | Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? | Wei-Ning Hsu, Yao-Hung Hubert Tsai, Benjamin Bolte, Ruslan Salakhutdinov, Abdelrahman Mohamed |
| 2021 | ICCV | Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. | Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang |
| 2021 | ICLR | Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. | Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov |
| 2021 | ICLR | C-Learning: Learning to Achieve Goals via Recursive Classification. | Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine |
| 2021 | ICLR | Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation. | Emilio Parisotto, Ruslan Salakhutdinov |
| 2021 | ICLR | Self-supervised Learning from a Multi-view Perspective. | Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2021 | ICLR | Self-supervised Representation Learning with Relative Predictive Coding. | Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Han Zhao, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2021 | ICML | Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. | Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh |
| 2021 | ICML | On Proximal Policy Optimization's Heavy-tailed Gradients. | Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar |
| 2021 | ICML | Towards Understanding and Mitigating Social Biases in Language Models. | Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2021 | ICML | Information Obfuscation of Graph Neural Networks. | Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov |
| 2021 | ICML | Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. | Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen |
| 2021 | ICML | Instabilities of Offline RL with Pre-Trained Neural Representation. | Ruosong Wang, Yifan Wu, Ruslan Salakhutdinov, Sham M. Kakade |
| 2021 | Interspeech | Multimodal Speech Summarization Through Semantic Concept Learning. | Shruti Palaskar, Ruslan Salakhutdinov, Alan W. Black, Florian Metze |
| 2021 | NAACL | StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. | Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabs Pczos, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2021 | NAACL | Case Study: Deontological Ethics in NLP. | Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W. Black |
| 2021 | NAACL | Focused Attention Improves Document-Grounded Generation. | Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov |
| 2020 | ACL | Towards Debiasing Sentence Representations. | Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2020 | ACL | Politeness Transfer: A Tag and Generate Approach. | Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabs Pczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye |
| 2020 | ACL | Topological Sort for Sentence Ordering. | Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W. Black |
| 2020 | COLING | Exploring Controllable Text Generation Techniques. | Shrimai Prabhumoye, Alan W. Black, Ruslan Salakhutdinov |
| 2020 | CVPR | Neural Topological SLAM for Visual Navigation. | Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta |
| 2020 | EMNLP | Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis. | Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2020 | ICASSP | Complex Transformer: A Framework for Modeling Complex-Valued Sequence. | Muqiao Yang, Martin Q. Ma, Dongyu Li, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov |
| 2020 | ICLR | Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. | Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu |
| 2020 | ICLR | Learning To Explore Using Active Neural SLAM. | Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov |
| 2020 | ICLR | Differentiable Reasoning over a Virtual Knowledge Base. | Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen |
| 2020 | ICLR | Capsules with Inverted Dot-Product Attention Routing. | Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov |
| 2020 | IJCAI | Embodied Multimodal Multitask Learning. | Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra |
| 2019 | AAAI | Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. | Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov |
| 2019 | ACL | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov |
| 2019 | ACL | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2019 | ACL | Multimodal Transformer for Unaligned Multimodal Language Sequences. | Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2019 | AISTATS | Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. | Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov |
| 2019 | CoRL | Worst Cases Policy Gradients. | Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov |
| 2019 | CVPR | Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. | Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi |
| 2019 | EMNLP | Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. | Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2019 | ICLR | Point Cloud GAN. | Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabs Pczos, Ruslan Salakhutdinov |
| 2019 | ICLR | Connecting the Dots Between MLE and RL for Sequence Generation. | Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2019 | ICLR | Learning Factorized Multimodal Representations. | Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2019 | ICLR | AutoLoss: Learning Discrete Schedule for Alternate Optimization. | Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2019 | ICLR | Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. | Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2019 | IJCAI | MineRL: A Large-Scale Dataset of Minecraft Demonstrations. | William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov |
| 2019 | KDD | Integrating Domain-Knowledge into Deep Learning. | Ruslan Salakhutdinov |
| 2019 | NAACL | Strong and Simple Baselines for Multimodal Utterance Embeddings. | Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2018 | AAAI | Knowledge-based Word Sense Disambiguation using Topic Models. | Devendra Singh Chaplot, Ruslan Salakhutdinov |
| 2018 | AAAI | Gated-Attention Architectures for Task-Oriented Language Grounding. | Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov |
| 2018 | ACL | Style Transfer Through Back-Translation. | Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black |
| 2018 | AIED | Learning Cognitive Models Using Neural Networks. | Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger |
| 2018 | AISTATS | A Generic Approach for Escaping Saddle points. | Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola |
| 2018 | COLING | Investigating the Working of Text Classifiers. | Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov |
| 2018 | CVPR | Global Pose Estimation With an Attention-Based Recurrent Network. | Emilio Parisotto, Devendra Singh Chaplot, Jian Zhang, Ruslan Salakhutdinov |
| 2018 | EMNLP | Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. | Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | EMNLP | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. | Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning |
| 2018 | ICLR | Active Neural Localization. | Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov |
| 2018 | ICLR | On Unifying Deep Generative Models. | Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2018 | ICLR | LSTM Iteration Networks: An Exploration of Differentiable Path Finding. | Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Ruslan Salakhutdinov |
| 2018 | ICLR | Neural Map: Structured Memory for Deep Reinforcement Learning. | Emilio Parisotto, Ruslan Salakhutdinov |
| 2018 | ICLR | Selecting the Best in GANs Family: a Post Selection Inference Framework. | Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2018 | ICLR | Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. | Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | ICML | Gated Path Planning Networks. | Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric P. Xing, Ruslan Salakhutdinov |
| 2018 | ICML | Transformation Autoregressive Networks. | Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabs Pczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider |
| 2018 | ICML | Structured Control Nets for Deep Reinforcement Learning. | Mario Srouji, Jian Zhang, Ruslan Salakhutdinov |
| 2018 | NAACL | Neural Models for Reasoning over Multiple Mentions Using Coreference. | Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ACL | Gated-Attention Readers for Text Comprehension. | Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ACL | Semi-Supervised QA with Generative Domain-Adaptive Nets. | Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen |
| 2017 | CVPR | Spatially Adaptive Computation Time for Residual Networks. | Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov |
| 2017 | CVPR | The More You Know: Using Knowledge Graphs for Image Classification. | Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta |
| 2017 | ICCV | Learning Robust Visual-Semantic Embeddings. | Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov |
| 2017 | ICCV | Deep Determinantal Point Process for Large-Scale Multi-label Classification. | Pengtao Xie, Ruslan Salakhutdinov, Luntian Mou, Eric P. Xing |
| 2017 | ICLR | On the Quantitative Analysis of Decoder-Based Generative Models. | Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger B. Grosse |
| 2017 | ICLR | Words or Characters? Fine-grained Gating for Reading Comprehension. | Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ICLR | Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. | Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen |
| 2017 | ICML | Toward Controlled Generation of Text. | Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2017 | ICML | Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. | Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick |
| 2016 | AISTATS | Deep Kernel Learning. | Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing |
| 2016 | EMNLP | Deep Neural Networks with Massive Learned Knowledge. | Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2016 | ICML | Revisiting Semi-Supervised Learning with Graph Embeddings. | Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2015 | AISTATS | Accurate and conservative estimates of MRF log-likelihood using reverse annealing. | Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov |
| 2015 | BMVC | Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. | Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov |
| 2015 | CVPR | segDeepM: Exploiting segmentation and context in deep neural networks for object detection. | Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler |
| 2015 | ICCV | Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions. | Lei Jimmy Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov |
| 2015 | ICCV | Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. | Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler |
| 2015 | ICML | Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix. | Roger B. Grosse, Ruslan Salakhutdinov |
| 2015 | ICML | Unsupervised Learning of Video Representations using LSTMs. | Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov |
| 2015 | ICML | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. | Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio |
| 2014 | ICML | Multimodal Neural Language Models. | Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel |
| 2014 | KDD | Deep learning. | Ruslan Salakhutdinov |
| 2013 | ICML | Tensor Analyzers. | Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2013 | UAI | Modeling Documents with Deep Boltzmann Machines. | Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | CogSci | Concept learning as motor program induction: A large-scale empirical study. | Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum |
| 2012 | CVPR | Robust Boltzmann Machines for recognition and denoising. | Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | ICASSP | Resource configurable spoken query detection using Deep Boltzmann Machines. | Yaodong Zhang, Ruslan Salakhutdinov, Hung-An Chang, James R. Glass |
| 2012 | ICML | Deep Mixtures of Factor Analysers. | Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | ICML | Deep Lambertian Networks. | Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | UAI | Exploiting compositionality to explore a large space of model structures. | Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum |
| 2011 | CogSci | One shot learning of simple visual concepts. | Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum |
| 2011 | CVPR | Learning to share visual appearance for multiclass object detection. | Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum |
| 2010 | ICML | Learning Deep Boltzmann Machines using Adaptive MCMC. | Ruslan Salakhutdinov |
| 2009 | ICML | Learning nonlinear dynamic models. | John Langford, Ruslan Salakhutdinov, Tong Zhang |
| 2009 | ICML | Evaluation methods for topic models. | Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno |
| 2009 | ICML | Workshop summary: Workshop on learning feature hierarchies. | Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |
| 2008 | ICML | On the quantitative analysis of deep belief networks. | Ruslan Salakhutdinov, Iain Murray |
| 2008 | ICML | Bayesian probabilistic matrix factorization using Markov chain Monte Carlo. | Ruslan Salakhutdinov, Andriy Mnih |
| 2007 | ICML | Restricted Boltzmann machines for collaborative filtering. | Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton |
| 2004 | ICDM | Semi-Supervised Mixture-of-Experts Classification. | Grigoris I. Karakoulas, Ruslan Salakhutdinov |
| 2003 | ICML | Adaptive Overrelaxed Bound Optimization Methods. | Ruslan Salakhutdinov, Sam T. Roweis |
| 2003 | ICML | Optimization with EM and Expectation-Conjugate-Gradient. | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani |
| 2003 | UAI | On the Convergence of Bound Optimization Algorithms. | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani |