← Authors

Tamir Hazan

39 papers · 2010–2024 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (14) πŸ—ΊοΈ Taxonomy Completionist (21) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (6) πŸ† Grand Slam 🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (39) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (77)

Conferences

NIPS (12) ICML (8) AISTATS (7) CVPR (4) AAAI (2) ICLR (2) JMLR (2) COLT (1) WACV (1)

Top co-authors

Tommi Jaakkola (6) Idan Schwartz (6) Guy Lorberbom (5) Alexander Schwing (5) Itai Gat (5) Raquel Urtasun (4) Alex Schwing (3) Alexander G. Schwing (3) Yossi Adi (3) Hedda Cohen Indelman (3)

Keywords

structured prediction (9) attention mechanism (5) graphical model (4) map inference (4) gibbs distribution (3) direct loss minimization (3) regret bound (3) log-sobolev inequality (3) multimodal learning (3) convex optimization (3) maximum a posteriori (3) online learning (2) computer vision (2) belief propagation (2) markov random field (2) message passing (2) linear programming (2) visual question answering (2) global convergence (2) fisher information (2)

Papers

Layer Collaboration in the Forward-Forward Algorithm AAAI 2024
Learning Latent Partial Matchings with Gumbel-IPF Networks AISTATS 2024
Learning Constrained Structured Spaces with Application to Multi-Graph Matching AISTATS 2023
Video and Text Matching With Conditioned Embeddings WACV 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds NIPS 2022
Latent Space Explanation by Intervention AAAI 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies ICLR 2022
A Functional Information Perspective on Model Interpretation ICML 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images ICML 2022
Visual Navigation With Spatial Attention CVPR 2021
Learning Generalized Gumbel-max Causal Mechanisms NIPS 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NIPS 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NIPS 2020
A Simple Baseline for Audio-Visual Scene-Aware Dialog CVPR 2019
Factor Graph Attention CVPR 2019
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder NIPS 2019
Hinge-Minimax Learner for the Ensemble of Hyperplanes JMLR 2018
Tight Bounds for Bandit Combinatorial Optimization COLT 2017
High-Order Attention Models for Visual Question Answering NIPS 2017
Blending Learning and Inference in Conditional Random Fields JMLR 2016
Online Learning with Feedback Graphs Without the Graphs ICML 2016
Constraints Based Convex Belief Propagation NIPS 2016
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
K-hyperplane Hinge-Minimax Classifier ICML 2015
Following the Perturbed Leader for Online Structured Learning ICML 2015
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Computational Education using Latent Structured Prediction AISTATS 2014
Active Boundary Annotation using Random MAP Perturbations AISTATS 2014
Congruency-Based Reranking CVPR 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Direct Loss Minimization for Structured Prediction NIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010