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Gal Chechik

86 papers · 2005–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (23) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (21) 🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (9) 🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution 🀝 Dynamic Duo (15) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (70) πŸš€ Conference Pioneer πŸ’Ž Century Club (85) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

ICML (19) NIPS (14) CVPR (11) ICLR (6) WACV (6) ECCV (5) EMNLP (5) JMLR (5) AAAI (4) ICCV (3) IJCAI (2) IJCNLP (2) UAI (2) ACL (1) NAACL (1)

Top co-authors

Haggai Maron (15) Ethan Fetaya (15) Shie Mannor (12) Yuval Atzmon (11) Aviv Navon (10) Aviv Shamsian (9) Uri Shalit (9) Amir Globerson (9) Idan Achituve (8) Dvir Samuel (7)

Keywords

diffusion model (10) zero-shot learning (8) representation learning (6) reinforcement learning (6) few-shot learning (5) self-supervised learning (4) text-to-image generation (4) online learning (4) object detection (4) graph neural network (4) dimensionality reduction (3) deep kernel learning (3) action recognition (3) semi-supervised learning (3) permutation invariance (3) convex optimization (2) transfer learning (2) image classification (2) domain adaptation (2) matrix factorization (2)

Papers

Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image WACV 2026
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026
Make It Count: Text-to-Image Generation with an Accurate Number of Objects CVPR 2025
TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features CVPR 2025
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression CVPR 2025
Policy Gradient with Tree Expansion ICML 2025
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds CVPR 2025
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models ICLR 2025
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models ICLR 2025
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion ACL 2025
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models NAACL 2025
IT$^3$: Idempotent Test-Time Training ICML 2025
Improved Generalization of Weight Space Networks via Augmentations ICML 2024
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval NIPS 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024
Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024
Breathing Life Into Sketches Using Text-to-Video Priors CVPR 2024
LCM-Lookahead for Encoder-based Text-to-Image Personalization ECCV 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
Equivariant Deep Weight Space Alignment ICML 2024
Generating Images of Rare Concepts Using Pre-trained Diffusion Models AAAI 2024
Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion ICLR 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment NIPS 2023
Point Cloud Completion with Pretrained Text-to-Image Diffusion Models NIPS 2023
Norm-guided latent space exploration for text-to-image generation NIPS 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning NIPS 2023
Planning and Learning with Adaptive Lookahead AAAI 2023
Guided Deep Kernel Learning UAI 2023
Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023
Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023
Reinforcement Learning with a Terminator NIPS 2022
Optimizing Tensor Network Contraction Using Reinforcement Learning ICML 2022
Multi-Task Learning as a Bargaining Game ICML 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022
Object-Region Video Transformers CVPR 2022
DETReg: Unsupervised Pretraining With Region Priors for Object Detection CVPR 2022
Reinforcement Learning for Datacenter Congestion Control AAAI 2022
Coupled Training for Multi-Source Domain Adaptation WACV 2022
"β€œThis Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations" ECCV 2022
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
Personalized Federated Learning With Gaussian Processes NIPS 2021
Distributional Robustness Loss for Long-Tail Learning ICCV 2021
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning ICCV 2021
Learning the Pareto Front with Hypernetworks ICLR 2021
Auxiliary Learning by Implicit Differentiation ICLR 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
Compositional Video Synthesis with Action Graphs ICML 2021
Personalized Federated Learning using Hypernetworks ICML 2021
From Local Structures to Size Generalization in Graph Neural Networks ICML 2021
On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021
Known unknowns: Learning novel concepts using reasoning-by-elimination UAI 2021
Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021
From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors WACV 2021
On Learning Sets of Symmetric Elements ICML 2020
A causal view of compositional zero-shot recognition NIPS 2020
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization EMNLP 2020
Learning Canonical Representations for Scene Graph to Image Generation ECCV 2020
Differentiable Scene Graphs WACV 2020
Learning Object Permanence from Video ECCV 2020
Contrastive Learning for Weakly Supervised Phrase Grounding ECCV 2020
Joint Optimization for Cooperative Image Captioning ICCV 2019
Multilingual word translation using auxiliary languages EMNLP 2019
Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning CVPR 2019
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation EMNLP 2019
Multilingual word translation using auxiliary languages IJCNLP 2019
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation IJCNLP 2019
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction NIPS 2018
Context-Aware Captions From Context-Agnostic Supervision CVPR 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision CVPR 2017
Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017
Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014
Modeling Musical Influence with Topic Models ICML 2013
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Max-margin Classification of Data with Absent Features JMLR 2008
Euclidean Embedding of Co-occurrence Data JMLR 2007
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Max-margin classification of incomplete data NIPS 2006
Information Bottleneck for Gaussian Variables JMLR 2005