Lior Wolf
152 papers · 2003–2026 · 20 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (153) π Conference Polyglot Β· Diamond π Academic Marathon Β· Ultra π£ Hot Topic Early Bird
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(30)
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(7)
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Deep Specialist
(25)
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(8)
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(16)
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(9)
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(584)
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Research topics
Deep Learning
(102)
Machine Learning
(94)
Architectures
(54)
Computer Vision
(52)
Artificial Intelligence
(47)
Core Methods
(45)
Learning Types Β· Machine Learning
(43)
Core AI
(42)
Learning Types Β· Deep Learning
(35)
Models
(27)
Analysis
(25)
Application Areas
(25)
Optimization & Theory
(24)
Generation
(19)
Processing
(14)
Keywords
neural network
(15)
unsupervised learning
(15)
convolutional neural network
(10)
diffusion model
(10)
attention mechanism
(10)
image generation
(9)
generative model
(9)
domain adaptation
(9)
representation learning
(7)
image translation
(7)
transformer architecture
(6)
neural decoder
(6)
deep learning
(6)
state space model
(6)
generative adversarial network
(6)
video generation
(5)
transfer learning
(5)
optical flow
(5)
deep neural network
(5)
weakly supervised learning
(5)
Papers
AlignTree: Efficient Defense Against LLM Jailbreak Attacks
AAAI 2026
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
WACV 2026
Faithful Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
ACL 2026
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
EACL 2026
Safeguarding Language Models via Self-Destruct Trapdoor
EACL 2026
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
ACL 2026
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
CVPR 2025
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
ICLR 2025
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
ICLR 2025
Discovering Directions of Uncertainty in Speech Inpainting
Interspeech 2025
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
ICLR 2025
Reversed Attention: On The Gradient Descent Of Attention Layers In GPT
NAACL 2025
Segment-Based Attention Masking for GPTs
ACL 2025
SphereUFormer: A U-Shaped Transformer for Spherical 360 Perception
CVPR 2025
The Hidden Attention of Mamba Models
ACL 2025
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
ICML 2025
A 2-Dimensional State Space Layer for Spatial Inductive Bias
ICLR 2024
A Foundation Model for Error Correction Codes
ICLR 2024
Anomaly Detection with Variance Stabilized Density Estimation
UAI 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
EMNLP 2024
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
ICML 2024
Deep Quantum Error Correction
AAAI 2024
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
AAAI 2024
Dynamic Layer Tying for Parameter-Efficient Transformers
ICLR 2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
EMNLP 2024
Learning Linear Block Error Correction Codes
ICML 2024
LLM Questionnaire Completion for Automatic Psychiatric Assessment
EMNLP 2024
Multi-Dimensional Hyena for Spatial Inductive Bias
AISTATS 2024
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
EACL 2024
Revisiting the Noise Model of Stochastic Gradient Descent
AISTATS 2024
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
ICLR 2024
The Hidden Language of Diffusion Models
ICLR 2024
Video Polyp Segmentation using Implicit Networks
MIDL 2024
Viewing Transformers Through the Lens of Long Convolutions Layers
ICML 2024
Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM
MIDL 2024
Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
Interspeech 2023
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
ICCV 2023
Cross-Domain Relation Adaptation
ACML 2023
Decision S4: Efficient Sequence-Based RL via State Spaces Layers
ICLR 2023
Degree-based stratification of nodes in Graph Neural Networks
ACML 2023
Denoising Diffusion Error Correction Codes
ICLR 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
ICCV 2023
Focus Your Attention (with Adaptive IIR Filters)
EMNLP 2023
OCD: Learning to Overfit with Conditional Diffusion Models
ICML 2023
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI
MIDL 2023
Semi-supervised learning of partial differential operators and dynamical flows
UAI 2023
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
CVPR 2023
Anomaly Detection for Tabular Data with Internal Contrastive Learning
ICLR 2022
Describing Sets of Images with Textual-PCA
EMNLP 2022
Dynamic Dual-Output Diffusion Models
CVPR 2022
Error Correction Code Transformer
NeurIPS 2022
Explainability Guided COVID-19 Detection in CT Scans
MIDL 2022
Geometric Transformer for End-to-End Molecule Properties Prediction
IJCAI 2022
Image Animation With Perturbed Masks
CVPR 2022
Image-Based CLIP-Guided Essence Transfer
ECCV 2022
Neural Inverse Kinematic
ICML 2022
No Token Left Behind: Explainability-Aided Image Classification and Generation
ECCV 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
NeurIPS 2022
Self-Supervised Transformers for fMRI representation
MIDL 2022
SepIt: Approaching a Single Channel Speech Separation Bound
Interspeech 2022
Unsupervised Disentanglement with Tensor Product Representations on the Torus
ICLR 2022
Video and Text Matching With Conditioned Embeddings
WACV 2022
Weakly Supervised Discovery of Semantic Attributes
CLeaR 2022
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
NeurIPS 2022
XAI for Transformers: Better Explanations through Conservative Propagation
ICML 2022
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
CVPR 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Interspeech 2022
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
ICCV 2021
Caption Enriched Samples for Improving Hateful Memes Detection
EMNLP 2021
Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches
AAAI 2021
Fidelity-based Deep Adiabatic Scheduling
ICLR 2021
Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
ICCV 2021
HyperHyperNetwork for the Design of Antenna Arrays
ICML 2021
HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation
CVPR 2021
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training
Interspeech 2021
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models
EACL 2021
Meta Internal Learning
NeurIPS 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms
EMNLP 2021
On random kernels of residual architectures
UAI 2021
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
CVPR 2021
Recovering AES Keys with a Deep Cold Boot Attack
ICML 2021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
JMLR 2021
Sample Selection for Universal Domain Adaptation
AAAI 2021
Scale-Localized Abstract Reasoning
CVPR 2021
Shuffling Recurrent Neural Networks
AAAI 2021
Single-Shot Freestyle Dance Reenactment
CVPR 2021
Transformer Interpretability Beyond Attention Visualization
CVPR 2021
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
AAAI 2021
End to End Lip Synchronization with a Temporal AutoEncoder
WACV 2020
End to End Trainable Active Contours via Differentiable Rendering
ICLR 2020
Generating Correct Answers for Progressive Matrices Intelligence Tests
NeurIPS 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
NeurIPS 2020
Masked Based Unsupervised Content Transfer
ICLR 2020
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering
ECCV 2020
On Infinite-Width Hypernetworks
NeurIPS 2020
On the Modularity of Hypernetworks
NeurIPS 2020
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
AAAI 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow
CVPR 2020
Supervised and Unsupervised Learning of Parameterized Color Enhancement
WACV 2020
TTS Skins: Speaker Conversion via ASR
Interspeech 2020
Unsupervised Cross-Domain Singing Voice Conversion
Interspeech 2020
Vid2Game: Controllable Characters Extracted from Real-World Videos
ICLR 2020
Voice Separation with an Unknown Number of Multiple Speakers
ICML 2020
Wish You Were Here: Context-Aware Human Generation
CVPR 2020
A Universal Music Translation Network
ICLR 2019
Bidirectional One-Shot Unsupervised Domain Mapping
ICCV 2019
Deep Meta Functionals for Shape Representation
ICCV 2019
Domain Intersection and Domain Difference
ICCV 2019
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
ICLR 2019
End-To-End Supervised Product Quantization for Image Search and Retrieval
CVPR 2019
Hyper-Graph-Network Decoders for Block Codes
NeurIPS 2019
Live Face De-Identification in Video
ICCV 2019
Single Image Depth Estimation Trained via Depth From Defocus Cues
CVPR 2019
Specifying Object Attributes and Relations in Interactive Scene Generation
ICCV 2019
Unsupervised Learning of the Set of Local Maxima
ICLR 2019
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network
ICCV 2019
Unsupervised Singing Voice Conversion
Interspeech 2019
A Two-Step Disentanglement Method
CVPR 2018
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
NeurIPS 2018
Estimating the Success of Unsupervised Image to Image Translation
ECCV 2018
Fitting New Speakers Based on a Short Untranscribed Sample
ICML 2018
Identifying Analogies Across Domains
ICLR 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
ECCV 2018
Non-Adversarial Unsupervised Word Translation
EMNLP 2018
One-Shot Unsupervised Cross Domain Translation
NeurIPS 2018
Regularizing by the Variance of the Activations' Sample-Variances
NeurIPS 2018
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
ICLR 2018
Unsupervised Correlation Analysis
CVPR 2018
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
ICLR 2018
Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning
CVPR 2017
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation
CVPR 2017
Learning to Align the Source Code to the Compiled Object Code
ICML 2017
Linking Image and Text With 2-Way Nets
CVPR 2017
One-Sided Unsupervised Domain Mapping
NeurIPS 2017
Optical Flow Requires Multiple Strategies (but Only One Network)
CVPR 2017
Temporal Tessellation: A Unified Approach for Video Analysis
ICCV 2017
Unsupervised Creation of Parameterized Avatars
ICCV 2017
Using the Output Embedding to Improve Language Models
EACL 2017
CNN-N-Gram for Handwriting Word Recognition
CVPR 2016
PatchBatch: A Batch Augmented Loss for Optical Flow
CVPR 2016
The Multiverse Loss for Robust Transfer Learning
CVPR 2016
A Dynamic Convolutional Layer for Short Range Weather Prediction
CVPR 2015
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors
CVPR 2015
Live Repetition Counting
ICCV 2015
Web-Scale Training for Face Identification
CVPR 2015
Congruency-Based Reranking
CVPR 2014
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
CVPR 2014
Fast High Dimensional Vector Multiplication Face Recognition
ICCV 2013
The SVM-Minus Similarity Score for Video Face Recognition
CVPR 2013
Variational Relevance Vector Machine for Tabular Data
ACML 2010
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach
JMLR 2005
Learning over Sets using Kernel Principal Angles
JMLR 2003