Ofir Lindenbaum
19 papers · 2018–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
π
Grand Slam
π
Keyword Champion
(3)
π
Renaissance Researcher
(5)
π
Trend Setter
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(83)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(14)
Artificial Intelligence
(8)
Core AI
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Application Areas
(4)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Resources & Methods
(2)
Keywords
feature selection
(4)
graph laplacian
(3)
unsupervised feature selection
(3)
tabular data
(3)
interpretability
(2)
multimodal learning
(2)
representation learning
(2)
sparse representation
(2)
large language model
(2)
canonical correlation analysis
(2)
parameter-efficient fine-tuning
(2)
knowledge editing
(1)
density estimation
(1)
direct preference optimization
(1)
anomaly detection
(1)
outlier detection
(1)
embedding
(1)
keyword spotting
(1)
group sparsity
(1)
neural network optimization
(1)
Papers
TempoControl: Temporal Attention Guidance for Text-to-Video Models
CVPR 2026
Unsupervised Feature Selection Through Group Discovery
AAAI 2026
AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
ICLR 2025
COPER: Correlation-based Permutations for Multi-View Clustering
ICLR 2025
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
ICML 2025
Anomaly Detection with Variance Stabilized Density Estimation
UAI 2024
Contextual Feature Selection with Conditional Stochastic Gates
ICML 2024
Interpretable Deep Clustering for Tabular Data
ICML 2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
EMNLP 2024
Revisiting the Noise Model of Stochastic Gradient Descent
AISTATS 2024
Sparse Binarization for Fast Keyword Spotting
Interspeech 2024
Transductive and Inductive Outlier Detection with Robust Autoencoders
UAI 2024
Multi-modal differentiable unsupervised feature selection
UAI 2023
L0-Sparse Canonical Correlation Analysis
ICLR 2022
Locally Sparse Neural Networks for Tabular Biomedical Data
ICML 2022
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
NeurIPS 2021
Feature Selection using Stochastic Gates
ICML 2020
Variational Diffusion Autoencoders with Random Walk Sampling
ECCV 2020
Geometry Based Data Generation
NeurIPS 2018