Tamir Hazan - RankMe

107 papers A* 33A 10C 2Misc 1Journal 48Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Layer Collaboration in the Forward-Forward Algorithm. AAAI Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2024	A	`conf`	Learning Latent Partial Matchings with Gumbel-IPF Networks. AISTATS Hedda Cohen Indelman, Tamir Hazan
2024	J	`jnl`	On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. CoRR Hedda Cohen Indelman, Tamir Hazan
2023	J	`jnl`	Layer Collaboration in the Forward-Forward Algorithm. CoRR Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2023	A	`conf`	Learning Constrained Structured Spaces with Application to Multi-Graph Matching. AISTATS Hedda Cohen Indelman, Tamir Hazan
2022	A*	`conf`	A Functional Information Perspective on Model Interpretation. ICML Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan
2022	J	`jnl`	A Functional Information Perspective on Model Interpretation. CoRR Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan
2022	A*	`conf`	Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. ICML Tom Ron, Michal Weiler-Sagie, Tamir Hazan
2022	J	`jnl`	Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. CoRR Tom Ron, Michal Weiler-Sagie, Tamir Hazan
2022	A*	`conf`	Latent Space Explanation by Intervention. AAAI Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan
2022	A*	`conf`	Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. ICLR Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan
2022	J	`jnl`	Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. CoRR Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan
2022	A*	`conf`	On the Importance of Gradient Norm in PAC-Bayesian Bounds. NeurIPS Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2022	J	`jnl`	On the Importance of Gradient Norm in PAC-Bayesian Bounds. CoRR Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2022	A	`conf`	Video and Text Matching with Conditioned Embeddings. WACV Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf
2022	J	`jnl`	Walking Direction Estimation Using Smartphone Sensors: A Deep Network-Based Framework. IEEE Trans. Instrum. Meas. Adi Manos, Tamir Hazan, Itzik Klein
2021	J	`jnl`	Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy. CoRR Bronya Roni Chernyak, Bhiksha Raj, Tamir Hazan, Joseph Keshet
2021	J	`jnl`	Latent Space Explanation by Intervention. CoRR Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan
2021	A*	`conf`	Learning Generalized Gumbel-max Causal Mechanisms. NeurIPS Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan
2021	J	`jnl`	Learning Generalized Gumbel-max Causal Mechanisms. CoRR Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan
2021	A*	`conf`	Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. ICML Hedda Cohen Indelman, Tamir Hazan
2021	J	`jnl`	Mixing between the Cross Entropy and the Expectation Loss Terms. CoRR Barak Battash, Lior Wolf, Tamir Hazan
2021	A*	`conf`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
2021	J	`jnl`	Video and Text Matching with Conditioned Embeddings. CoRR Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf
2021	A*	`conf`	Visual Navigation With Spatial Attention. CVPR Bar Mayo, Tamir Hazan, Ayellet Tal
2021	J	`jnl`	Visual Navigation with Spatial Attention. CoRR Bar Mayo, Tamir Hazan, Ayellet Tal
2020	J	`jnl`	A Formal Approach to Explainability. CoRR Lior Wolf, Tomer Galanti, Tamir Hazan
2020	A*	`conf`	Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces. NeurIPS Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow
2020	—	`conf`	Equalizing Data Science Curriculum for Computer Science Pupils. Koli Calling Koby Mike, Tamir Hazan, Orit Hazzan
2020	J	`jnl`	Generalized Planning With Deep Reinforcement Learning. CoRR Or Rivlin, Tamir Hazan, Erez Karpas
2020	J	`jnl`	Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. CoRR Hedda Cohen Indelman, Tamir Hazan
2020	J	`jnl`	On the generalization of bayesian deep nets for multi-class classification. CoRR Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan
2020	J	`jnl`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
2020	A*	`conf`	Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. NeurIPS Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2020	J	`jnl`	Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. CoRR Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2020	J	`jnl`	Stochastic proximal linear method for structured non-convex problems. Optim. Methods Softw. Tamir Hazan, Shoham Sabach, Sergey Voldman
2019	C	`conf`	A Formal Approach to Explainability. AIES Lior Wolf, Tomer Galanti, Tamir Hazan
2019	A*	`conf`	A Simple Baseline for Audio-Visual Scene-Aware Dialog. CVPR Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2019	J	`jnl`	A Simple Baseline for Audio-Visual Scene-Aware Dialog. CoRR Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2019	A*	`conf`	Direct Optimization through arg max for Discrete Variational Auto-Encoder. NeurIPS Guy Lorberbom, Tommi S. Jaakkola, Andreea Gane, Tamir Hazan
2019	J	`jnl`	Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces. CoRR Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow
2019	A*	`conf`	Factor Graph Attention. CVPR Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019	J	`jnl`	Factor Graph Attention. CoRR Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019	J	`jnl`	Gravity-Based Methods for Heading Computation in Pedestrian Dead Reckoning. Sensors Adi Manos, Itzik Klein, Tamir Hazan
2019	J	`jnl`	High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2019	J	`jnl`	Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing. Trans. Assoc. Comput. Linguistics Amichay Doitch, Ram Yazdi, Tamir Hazan, Roi Reichart
2018	J	`jnl`	Co-segmentation for space-time co-located collections. Vis. Comput. Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or
2018	J	`jnl`	Direct Optimization through arg max for Discrete Variational Auto-Encoder. CoRR Guy Lorberbom, Andreea Gane, Tommi S. Jaakkola, Tamir Hazan
2018	C	`conf`	Gravity Direction Estimation and Heading Determination for Pedestrian Navigation. IPIN Adi Manos, Itzik Klein, Tamir Hazan
2018	J	`jnl`	Hinge-Minimax Learner for the Ensemble of Hyperplanes. J. Mach. Learn. Res. Dolev Raviv, Tamir Hazan, Margarita Osadchy
2017	J	`jnl`	Co-segmentation for Space-Time Co-located Collections. CoRR Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or
2017	—	`conf`	High-Order Attention Models for Visual Question Answering. NIPS Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2017	J	`jnl`	High-Order Attention Models for Visual Question Answering. CoRR Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2017	A*	`conf`	Psychological Forest: Predicting Human Behavior. AAAI Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz
2017	A*	`conf`	Tight Bounds for Bandit Combinatorial Optimization. COLT Alon Cohen, Tamir Hazan, Tomer Koren
2017	J	`jnl`	Tight Bounds for Bandit Combinatorial Optimization. CoRR Alon Cohen, Tamir Hazan, Tomer Koren
2016	J	`jnl`	Active Congruency-Based Reranking. Frontiers Digit. Humanit. Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar
2016	J	`jnl`	Blending Learning and Inference in Conditional Random Fields. J. Mach. Learn. Res. Tamir Hazan, Alexander G. Schwing, Raquel Urtasun
2016	—	`conf`	Constraints Based Convex Belief Propagation. NIPS Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan
2016	J	`jnl`	High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	A*	`conf`	Online Learning with Feedback Graphs Without the Graphs. ICML Alon Cohen, Tamir Hazan, Tomer Koren
2016	J	`jnl`	Online Learning with Feedback Graphs Without the Graphs. CoRR Alon Cohen, Tamir Hazan, Tomer Koren
2015	A	`conf`	Efficient Training of Structured SVMs via Soft Constraints. AISTATS Ofer Meshi, Nathan Srebro, Tamir Hazan
2015	A*	`conf`	Following the Perturbed Leader for Online Structured Learning. ICML Alon Cohen, Tamir Hazan
2015	A*	`conf`	K-hyperplane Hinge-Minimax Classifier. ICML Margarita Osadchy, Tamir Hazan, Daniel Keren
2015	—	`conf`	Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2015	J	`jnl`	Steps Toward Deep Kernel Methods from Infinite Neural Networks. CoRR Tamir Hazan, Tommi S. Jaakkola
2014	A	`conf`	Active Boundary Annotation using Random MAP Perturbations. AISTATS Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola
2014	A	`conf`	Computational Education using Latent Structured Prediction. AISTATS Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross
2014	A*	`conf`	Congruency-Based Reranking. CVPR Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar
2014	A*	`conf`	Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. ICML Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2014	A	`conf`	Learning with Maximum A-Posteriori Perturbation Models. AISTATS Andreea Gane, Tamir Hazan, Tommi S. Jaakkola
2014	A*	`conf`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2013	—	`conf`	Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. NIPS Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola
2013	J	`jnl`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2013	—	`conf`	On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. NIPS Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola
2013	J	`jnl`	On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. CoRR Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola
2012	A	`conf`	Approximate Inference by Intersecting Semidefinite Bound and Local Polytope. AISTATS Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu
2012	J	`jnl`	Continuous Markov Random Fields for Robust Stereo Estimation CoRR Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun
2012	—	`conf`	Continuous Markov Random Fields for Robust Stereo Estimation. ECCV (5) Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun
2012	J	`jnl`	Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies CoRR Tamir Hazan, Amnon Shashua
2012	J	`jnl`	Efficient Learning of Structured Predictors in General Graphical Models CoRR Tamir Hazan, Raquel Urtasun
2012	A*	`conf`	Efficient Structured Prediction with Latent Variables for General Graphical Models. ICML Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	A*	`conf`	Efficient structured prediction for 3D indoor scene understanding. CVPR Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	—	`conf`	Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. NIPS Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	A*	`conf`	On the Partition Function and Random Maximum A-Posteriori Perturbations. ICML Tamir Hazan, Tommi S. Jaakkola
2012	J	`jnl`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs CoRR Tamir Hazan, Jian Peng, Amnon Shashua
2012	A	`conf`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. UAI Tamir Hazan, Jian Peng, Amnon Shashua
2011	A*	`conf`	Convex Max-Product over Compact Sets for Protein Folding. ICML Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun
2011	A*	`conf`	Distributed message passing for large scale graphical models. CVPR Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2011	Misc	`conf`	PAC-Bayesian approach for minimization of phoneme error rate. ICASSP Joseph Keshet, David A. McAllester, Tamir Hazan
2010	—	`conf`	A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. NIPS Tamir Hazan, Raquel Urtasun
2010	J	`jnl`	Approximated Structured Prediction for Learning Large Scale Graphical Models CoRR Tamir Hazan, Raquel Urtasun
2010	—	`conf`	Direct Loss Minimization for Structured Prediction. NIPS David A. McAllester, Tamir Hazan, Joseph Keshet
2010	J	`jnl`	Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. IEEE Trans. Inf. Theory Tamir Hazan, Amnon Shashua
2009	—	`—`	Algebraic methods for learning in computer vision (שיטות אלגבריות ללמידה בראייה ממוחשבת.). Tamir Hazan
2009	J	`jnl`	Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference CoRR Tamir Hazan, Amnon Shashua
2008	A*	`conf`	A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality. CVPR Tamir Hazan, Amit Man, Amnon Shashua
2008	A	`conf`	Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. UAI Tamir Hazan, Amnon Shashua
2007	A*	`conf`	Modeling Appearances with Low-Rank SVM. CVPR Lior Wolf, Hueihan Jhuang, Tamir Hazan
2007	A*	`conf`	pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. ICCV Tamir Hazan, Roee Hardoon, Amnon Shashua
2006	—	`conf`	Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization. ECCV (4) Amnon Shashua, Ron Zass, Tamir Hazan
2005	A*	`conf`	Non-negative tensor factorization with applications to statistics and computer vision. ICML Amnon Shashua, Tamir Hazan
2005	A*	`conf`	Sparse Image Coding Using a 3D Non-Negative Tensor Factorization. ICCV Tamir Hazan, Simon Polak, Amnon Shashua
2004	—	`conf`	Algebraic Set Kernels with Application to Inference Over Local Image Representations. NIPS Amnon Shashua, Tamir Hazan