Search Results - "Alfassy, Amit"

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning by Alfassy, Amit, Karlinsky, Leonid, Aides, Amit, Shtok, Joseph, Harary, Sivan, Feris, Rogerio, Giryes, Raja, Bronstein, Alex M.

“…Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available…”
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Unsupervised Domain Generalization by Learning a Bridge Across Domains by Harary, Sivan, Schwartz, Eli, Arbelle, Assaf, Staar, Peter, Abu-Hussein, Shady, Amrani, Elad, Herzig, Roei, Alfassy, Amit, Giryes, Raja, Kuehne, Hilde, Katabi, Dina, Saenko, Kate, Feris, Rogerio, Karlinsky, Leonid

“…The ability to generalize learned representations across significantly different visual domains, such as between real photos, clipart, paintings, and sketches,…”
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Detector-Free Weakly Supervised Grounding by Separation by Arbelle, Assaf, Doveh, Sivan, Alfassy, Amit, Shtok, Joseph, Lev, Guy, Schwartz, Eli, Kuehne, Hilde, Levi, Hila Barak, Sattigeri, Prasanna, Panda, Rameswar, Chen, Chun-Fu, Bronstein, Alex, Saenko, Kate, Ullman, Shimon, Giryes, Raja, Feris, Rogerio, Karlinsky, Leonid

“…Nowadays, there is an abundance of data involving images and surrounding free-form text weakly corresponding to those images. Weakly Supervised…”
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Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement by Shtok, Joseph, Alfassy, Amit, Dahood, Foad Abo, Schwartz, Eliyahu, Doveh, Sivan, Arbelle, Assaf

“…It has been shown that Large Language Models' (LLMs) performance can be improved for many tasks using Chain of Thought (CoT) or In-Context Learning (ICL),…”
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Towards Multimodal In-Context Learning for Vision & Language Models by Doveh, Sivan, Perek, Shaked, Mirza, M. Jehanzeb, Lin, Wei, Alfassy, Amit, Arbelle, Assaf, Ullman, Shimon, Karlinsky, Leonid

“…State-of-the-art Vision-Language Models (VLMs) ground the vision and the language modality primarily via projecting the vision tokens from the encoder to…”
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Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models by Doveh, Sivan, Arbelle, Assaf, Harary, Sivan, Herzig, Roei, Kim, Donghyun, Cascante-bonilla, Paola, Alfassy, Amit, Panda, Rameswar, Giryes, Raja, Feris, Rogerio, Ullman, Shimon, Karlinsky, Leonid

“…Vision and Language (VL) models offer an effective method for aligning representation spaces of images and text, leading to numerous applications such as…”
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FETA: Towards Specializing Foundation Models for Expert Task Applications by Alfassy, Amit, Arbelle, Assaf, Halimi, Oshri, Harary, Sivan, Herzig, Roei, Schwartz, Eli, Panda, Rameswar, Dolfi, Michele, Auer, Christoph, Saenko, Kate, Staar, PeterW. J, Feris, Rogerio, Karlinsky, Leonid

“…Foundation Models (FMs) have demonstrated unprecedented capabilities including zero-shot learning, high fidelity data synthesis, and out of domain…”
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Unsupervised Domain Generalization by Learning a Bridge Across Domains by Harary, Sivan, Schwartz, Eli, Arbelle, Assaf, Staar, Peter, Abu-Hussein, Shady, Amrani, Elad, Herzig, Roei, Alfassy, Amit, Giryes, Raja, Kuehne, Hilde, Katabi, Dina, Saenko, Kate, Feris, Rogerio, Karlinsky, Leonid

“…The ability to generalize learned representations across significantly different visual domains, such as between real photos, clipart, paintings, and sketches,…”
Get full text

Detector-Free Weakly Supervised Grounding by Separation by Arbelle, Assaf, Doveh, Sivan, Alfassy, Amit, Shtok, Joseph, Lev, Guy, Schwartz, Eli, Kuehne, Hilde, Levi, Hila Barak, Sattigeri, Prasanna, Panda, Rameswar, Chen, Chun-Fu, Bronstein, Alex, Saenko, Kate, Ullman, Shimon, Giryes, Raja, Feris, Rogerio, Karlinsky, Leonid

“…Nowadays, there is an abundance of data involving images and surrounding free-form text weakly corresponding to those images. Weakly Supervised…”
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StarNet: towards Weakly Supervised Few-Shot Object Detection by Karlinsky, Leonid, Shtok, Joseph, Alfassy, Amit, Lichtenstein, Moshe, Harary, Sivan, Schwartz, Eli, Doveh, Sivan, Sattigeri, Prasanna, Feris, Rogerio, Bronstein, Alexander, Giryes, Raja

“…Few-shot detection and classification have advanced significantly in recent years. Yet, detection approaches require strong annotation (bounding boxes) both…”
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LaSO: Label-Set Operations networks for multi-label few-shot learning by Alfassy, Amit, Karlinsky, Leonid, Aides, Amit, Shtok, Joseph, Harary, Sivan, Feris, Rogerio, Giryes, Raja, Bronstein, Alex M

“…Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available…”
Get full text