Leonid Karlinsky

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 116

Top Venues

CoRR

NeurIPS

CVPR

ICLR

Publications

Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR (2024)
Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky
Large Scale Generative AI Text Applied to Sports and Music. KDD (2024)
Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. CoRR (2024)
James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
Adaptive Memory Replay for Continual Learning. CoRR (2024)
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. WACV (2024)
Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems. CoRR (2024)
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Scaling Granite Code Models to 128K Context. CoRR (2024)
Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR (2024)
Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR (2024)
Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Comput. Vis. Image Underst. 241 (2024)
Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
Comparison Visual Instruction Tuning. CoRR (2024)
Yuan Gong, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass
Listen, Think, and Understand. ICLR (2024)
Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR (2024)
Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR (2024)
Sivan Doveh, Shaked Perek, M. Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
Towards Multimodal In-Context Learning for Vision & Language Models. CoRR (2024)
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR (2024)
Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) (2024)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs. CoRR (2024)
Aaron K. Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogério Feris
Large Scale Generative AI Text Applied to Sports and Music. CoRR (2024)
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR (2023)
Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass
Contrastive Audio-Visual Masked Autoencoder. ICLR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. CoRR (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV (2023)
Nir Yellinek, Leonid Karlinsky, Raja Giryes
3VL: using Trees to teach Vision & Language models compositional concepts. CoRR (2023)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR (2023)
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR (2023)
Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR (2023)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. 2023 (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP (2023)
Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James R. Glass
Joint Audio and Speech Understanding. ASRU (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. NeurIPS (2023)
Yuan Gong, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass
Listen, Think, and Understand. CoRR (2023)
Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James R. Glass
Joint Audio and Speech Understanding. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR (2023)
Yuan Gong, Sameer Khurana, Leonid Karlinsky, James R. Glass
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers. INTERSPEECH (2023)
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon
GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR (2023)
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP (2023)
Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS (2023)
Yuan Gong, Sameer Khurana, Leonid Karlinsky, James R. Glass
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers. CoRR (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification. CoRR (2023)
Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH (2023)
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR (2022)
Felix Vogel, Nina Shvetsova, Leonid Karlinsky, Hilde Kuehne
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. CoRR (2022)
Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160 (2022)
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR (2022)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR (2022)
Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
How Transferable are Video Representations Based on Synthetic Data? NeurIPS (2022)
Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass
Contrastive Audio-Visual Masked Autoencoder. CoRR (2022)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
On the Importance of Calibration in Semi-supervised Learning. CoRR (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24 (4) (2022)
Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein
Self-Supervised Classification Network. ECCV (31) (2022)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR (2022)
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR (2022)
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR (2022)
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. NeurIPS (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR (2022)
Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR (2022)
Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez
On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR (2022)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR (2021)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR (2021)
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI (2021)
Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. ICCV (2021)
Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV (2021)
Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky
CHARTER: heatmap-based multi-type chart data extraction. CoRR (2021)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR (2021)
Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. 149 (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR (2021)
Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. CoRR (2021)
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR (2021)
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR (2021)
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR (2020)
Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) (2020)
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR (2020)
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) (2020)
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR (2020)
Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR (2020)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR (2020)
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR (2020)
Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky
TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) (2020)
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) (2020)
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
A CNN based method for automatic mass detection and classification in mammograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7 (3) (2019)

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Leonid Karlinsky