Leonid Karlinsky
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
14
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Activation Reward Models for Few-Shot Model Alignment. | Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogrio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ACL | REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark. | Navve Wasserman, Roi Pony, Oshri Naparstek, Adi Raz Goldfarb, Eli Schwartz, Udi Barzelay, Leonid Karlinsky |
| 2025 | CVPR | Comparison Visual Instruction Tuning. | Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogrio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky |
| 2025 | CVPR | Sample- and Parameter-Efficient Auto-Regressive Image Models. | Elad Amrani, Leonid Karlinsky, Alex M. Bronstein |
| 2025 | CVPR | CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. | Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogrio Feris, James R. Glass, Hilde Kuehne |
| 2025 | ICCV | Teaching VLMs to Localize Specific Objects from In-Context Examples. | Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogrio Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza |
| 2025 | ICCV | BATCLIP: Bimodal Online Test-Time Adaptation for CLIP. | Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogrio Feris, Yunhui Guo |
| 2025 | ICCV | Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features. | Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogrio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ICLR | Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. | Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogrio Feris, Alan Ritter |
| 2025 | ICLR | LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. | Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes |
| 2024 | ACL | Self-Specialization: Uncovering Latent Expertise within Large Language Models. | Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogrio Feris, Leonid Karlinsky |
| 2024 | CVPR | Adaptive Memory Replay for Continual Learning. | James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogrio Feris, Zsolt Kira, Leonid Karlinsky |
| 2024 | ECCV | Towards Multimodal In-context Learning for Vision and Language Models. | Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky |
| 2024 | ECCV | Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. | Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger |
| 2024 | EMNLP | NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. | Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle |
| 2024 | ICLR | Listen, Think, and Understand. | Yuan Gong, Hongyin Luo, Alexander H. Liu, Leonid Karlinsky, James R. Glass |
| 2024 | Interspeech | Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. | Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogrio Feris, James Glass |
| 2024 | KDD | Large Scale Generative AI Text Applied to Sports and Music. | Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogrio Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky |
| 2024 | WACV | PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. | Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson |
| 2023 | ASRU | Joint Audio and Speech Understanding. | Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James R. Glass |
| 2023 | CVPR | Teaching Structured Vision & Language Concepts to Vision & Language Models. | Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogrio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky |
| 2023 | CVPR | ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. | James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogrio Feris, Leonid Karlinsky |
| 2023 | CVPR | CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. | James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogrio Feris, Zsolt Kira |
| 2023 | EMNLP | Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. | Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogrio Feris, Trevor Darrell, Amir Globerson |
| 2023 | ICASSP | C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. | Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogrio Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass |
| 2023 | ICCV | MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. | Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogrio Feris, Hilde Kuehne, Horst Bischof |
| 2023 | ICCV | Going Beyond Nouns With Vision & Language Models Using Synthetic Data. | Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gl Varol, Aude Oliva, Vicente Ordonez, Rogrio Feris, Leonid Karlinsky |
| 2023 | ICLR | Contrastive Audio-Visual Masked Autoencoder. | Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass |
| 2023 | ICLR | Learning to Grow Pretrained Models for Efficient Transformer Training. | Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogrio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim |
| 2023 | ICLR | Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. | Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogrio Feris, Huan Sun, Yoon Kim |
| 2023 | Interspeech | Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers. | Yuan Gong, Sameer Khurana, Leonid Karlinsky, James R. Glass |
| 2023 | Interspeech | Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. | Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogrio Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass |
| 2022 | CVPR | Unsupervised Domain Generalization by Learning a Bridge Across Domains. | 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, Rogrio Feris, Leonid Karlinsky |
| 2022 | CVPR | Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. | Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogrio Schmidt Feris |
| 2022 | ECCV | Self-Supervised Classification Network. | Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein |
| 2022 | ICASSP | A Maximal Correlation Approach to Imposing Fairness in Machine Learning. | Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogrio Feris |
| 2021 | AAAI | StarNet: towards Weakly Supervised Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogrio Feris, Alex M. Bronstein, Raja Giryes |
| 2021 | CVPR | Fine-Grained Angular Contrastive Learning With Coarse Labels. | Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2021 | ICCV | Detector-Free Weakly Supervised Grounding by Separation. | 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, Rogrio Feris, Leonid Karlinsky |
| 2021 | ICCV | A Broad Study on the Transferability of Visual Representations with Contrastive Learning. | Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogrio Feris |
| 2021 | ICLR | AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. | Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2020 | ECCV | OnlineAugment: Online Data Augmentation with Less Domain Knowledge. | Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogrio Feris, Dimitris N. Metaxas |
| 2020 | ECCV | A Broader Study of Cross-Domain Few-Shot Learning. | Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogrio Feris |
| 2020 | ECCV | TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. | Moshe Lichtenstein, Prasanna Sattigeri, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2020 | ECCV | AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. | Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogrio Feris |
| 2019 | CVPR | LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. | Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogrio Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | CVPR | RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogrio Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2017 | CaiSE | Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support. | Ethan Hadar, Joseph Shtok, Benjamin Cohen, Yochay Tzur, Leonid Karlinsky |
| 2017 | CVPR | Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. | Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok |
| 2017 | MICCAI | Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography. | Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan |
| 2016 | MICCAI | A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. | Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan |
| 2012 | ECCV | Using Linking Features in Learning Non-parametric Part Models. | Leonid Karlinsky, Shimon Ullman |
| 2010 | CVPR | The chains model for detecting parts by their context. | Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman |
| 2009 | CVPR | Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. | Leonid Karlinsky, Michael Dinerstein, Shimon Ullman |
| 2008 | ECCV | Unsupervised Classification and Part Localization by Consistency Amplification. | Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman |