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Verifying and decoding in constant depth., , , , and . STOC, page 440-449. ACM, (2007)Automatic Arguments Construction - From Search Engine to Research Engine., , and . AAAI Fall Symposia, AAAI Press, (2016)If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances., , and . CCC, page 243-257. IEEE Computer Society, (2005)Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora., , , , , , , , , and 10 other author(s). COLING (Demos), page 6-9. ACL, (2014)Identifying Interpretable Action Concepts in Deep Networks., , , , , , and . CVPR Workshops, page 12-15. Computer Vision Foundation / IEEE, (2019)ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models., , , , , , , and . NeurIPS, page 9448-9458. (2019)Fooling Parity Tests with Parity Gates., and . APPROX-RANDOM, volume 3122 of Lecture Notes in Computer Science, page 381-392. Springer, (2004)Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds., and . CCC, page 38-49. IEEE Computer Society, (2010)Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind., , , , , and . CoRR, (2022)Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding., , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 9434-9445 (2022)