Moments in Time Dataset: One Million Videos for Event Understanding von Monfort, Mathew, Vondrick, Carl, Oliva, Aude, Andonian, Alex, Zhou, Bolei, Ramakrishnan, Kandan, Bargal, Sarah Adel, Yan, Tom, Brown, Lisa, Fan, Quanfu, Gutfreund, Dan

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Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design von Regenwetter, Lyle, Srivastava, Akash, Gutfreund, Dan, Ahmed, Faez

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Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding von Monfort, Mathew, Pan, Bowen, Ramakrishnan, Kandan, Andonian, Alex, McNamara, Barry A., Lascelles, Alex, Fan, Quanfu, Gutfreund, Dan, Feris, Rogerio Schmidt, Oliva, Aude

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An autonomous debating system von Slonim, Noam, Bilu, Yonatan, Alzate, Carlos, Bar-Haim, Roy, Bogin, Ben, Bonin, Francesca, Choshen, Leshem, Cohen-Karlik, Edo, Dankin, Lena, Edelstein, Lilach, Ein-Dor, Liat, Friedman-Melamed, Roni, Gavron, Assaf, Gera, Ariel, Gleize, Martin, Gretz, Shai, Gutfreund, Dan, Halfon, Alon, Hershcovich, Daniel, Hoory, Ron, Hou, Yufang, Hummel, Shay, Jacovi, Michal, Jochim, Charles, Kantor, Yoav, Katz, Yoav, Konopnicki, David, Kons, Zvi, Kotlerman, Lili, Krieger, Dalia, Lahav, Dan, Lavee, Tamar, Levy, Ran, Liberman, Naftali, Mass, Yosi, Menczel, Amir, Mirkin, Shachar, Moshkowich, Guy, Ofek-Koifman, Shila, Orbach, Matan, Rabinovich, Ella, Rinott, Ruty, Shechtman, Slava, Sheinwald, Dafna, Shnarch, Eyal, Shnayderman, Ilya, Soffer, Aya, Spector, Artem, Sznajder, Benjamin, Toledo, Assaf, Toledo-Ronen, Orith, Venezian, Elad, Aharonov, Ranit

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Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds von Aydınlıog̃lu, Barış, Gutfreund, Dan, Hitchcock, John M., Kawachi, Akinori

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Exploiting label dependencies for improved sample complexity von Chekina, Lena, Gutfreund, Dan, Kontorovich, Aryeh, Rokach, Lior, Shapira, Bracha

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Worst-Case Vs. Algorithmic Average-Case Complexity in the Polynomial-Time Hierarchy von Gutfreund, Dan

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Boosting conditional probability estimators von Gutfreund, Dan, Kontorovich, Aryeh, Levy, Ran, Rosen-Zvi, Michal

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A lower bound for testing juntas von Chockler, Hana, Gutfreund, Dan

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If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances von Gutfreund, Dan, Shaltiel, Ronen, Ta-Shma, Amnon

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Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds von Gutfreund, Dan, Kawachi, Akinori

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Constraining Generative Models for Engineering Design with Negative Data von Regenwetter, Lyle, Giannone, Giorgio, Srivastava, Akash, Gutfreund, Dan, Ahmed, Faez

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Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design von Regenwetter, Lyle, Srivastava, Akash, Gutfreund, Dan, Ahmed, Faez

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LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis von Nobari, Amin Heyrani, Srivastava, Akash, Gutfreund, Dan, Xu, Kai, Ahmed, Faez

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LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design von Nobari, Amin Heyrani, Srivastava, Akash, Gutfreund, Dan, Ahmed, Faez

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Limitations of Hardness vs. Randomness under Uniform Reductions von Gutfreund, Dan, Vadhan, Salil

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Fooling Parity Tests with Parity Gates von Gutfreund, Dan, Viola, Emanuele

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Uniform hardness versus randomness tradeoffs for Arthur-Merlin games von Gutfreund, Dan, Shaltiel, Ronen, Ta-Shma, Amnon

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Restructuring deep neural networks to reduce the number of parameters von Fan, Quanfu, Gutfreund, Dan, Mudigonda, Abhijit S

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Constraining Generative Models for Engineering Design with Negative Data von Regenwetter, Lyle, Giannone, Giorgio, Srivastava, Akash, Gutfreund, Dan, Faez, Ahmed

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