Posters

Abstract	Poster	On the Benefits of Defining Vicinal Distributions in Latent Space	Mangla, Puneet*; Singh, Vedant; Havaldar, Shreyas; Balasubramanian, Vineeth
Abstract	Poster	Divergence between human and deep neural-net performance in line-drawing interpretation	Yang, Zhutian *; Jayashankar, Tejas; Sinha, Pawan
Abstract	Poster	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain	Schott, Lukas*; von Kügelgen, Julius; Träuble, Frederik; Gehler, Peter; Russell, Chris; Bethge, Matthias; Schölkopf, Bernhard; Locatello, Francesco; Brendel, Wieland
Abstract	Poster	Thalamocortical circuit insights enable zero-shot transfer by recurrent networks during hierarchical control of continuous motor behaviors	Logiaco, Laureline*; Escola, G Sean
Abstract	Poster	NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation	Wang, Angtian*; Kortylewski, Adam; Yuille, Alan
Abstract	Poster	Compositional Generative Networks: A robust and interpretable model for object recognition under occlusion	Kortylewski, Adam*; Liu, Qing; Wang, Angtian; Sun, Yihong; Yuille, Alan
Abstract	Poster	Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems	Schwarzschild, Avi*; Gupta, Arjun; Goldblum, Micah ; Goldstein, Tom
Abstract	Poster	AGENT: A Benchmark for Core Psychological Reasoning	Shu, Tianmin*; Bhandwaldar, Abhishek; Gan, Chuang; Smith, Kevin; Liu, Shari; Gutfreund, Dan; Spelke, Elizabeth; Tenenbaum, Joshua; Ullman, Tomer
Abstract	Poster	Treating Spurious Correlations with ENAMOR: Enforcing Nuisance Attributes to be Mitigated On the Representations	Sakai, Akira*; Sunagawa, Taro; Madan, Spandan; Suzuki, Kanata; Katoh, Takashi; Kobashi, Hiromichi; Boix, Xavier; Sasaki, Tomotake
Abstract	Poster	Dataset of Annotated Images of Sundry Objects --- Benchmark for Performance Degradation Caused by Domain Shifts	Katoh, Takashi*; Suzuki, Kanata; Kuramochi, Shioe; Sasaki, Tomotake; Kobashi, Hiromichi
Abstract	Poster	On prenatal auditory experience in humans and its relevance for machine hearing	Vogelsang, Marin*; Vogelsang, Lukas; Diamond, Sidney; Sinha, Pawan
Abstract	Poster	Modular Networks with random projections for high-capacity associative pattern and sequence memory	Sharma, Sugandha*; Chandra, Sarthak ; Chaudhuri, Rishidev; Klukas, Mirko; Fiete, Ila
Abstract	Poster	A hidden parameter network that explains topological properties observed in neocortex	Yanez, Felipe*; Udvary, Daniel; Oberlaender, Marcel
Abstract	Poster	Multi-Source Domain Adaptation with von Neumann Conditional Divergence	Shaker, Ammar*; Yu, Shujian
Abstract	Poster	HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving	Xie, Sirui*; Ma, Xiaojian; Yu, Peiyu; Zhu, Yixin; Wu, Ying Nian; Zhu, Song-Chun
Abstract	Poster	Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal different generalization capabilities in face and object processing	Jang, Hojin*; Tong, Frank
Abstract	Poster	Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment	Chang, Michael; Kaushik, Sid*; Levine, Sergey; Griffiths, Tom
Abstract	Poster	Grid Cell Path Integration For Movement-Based Visual Object Recognition	Leadholm, Niels*; Lewis, Marcus; Ahmad, Subutai
Abstract	Poster	Hierarchical Binding in Convolutional Neural Networks: Making Adversarial Attacks Geometrically Challenging	Leadholm, Niels*; Stringer, Simon
Abstract	Poster	Latent Space Representations for Evolutionary Diversity of Protein Families	B, Gagana*
Abstract	Poster	Transformation Tolerance of Machine-Based Face Recognition Systems	Musser, Anna*; Keane , Kyle ; Verma, Ashika
Abstract	Poster	Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds	Wang, Duo*; Lió, Pietro; Jamnik, Mateja
Abstract	Poster	Rotation-invariant representation learning	Pavan, Rakesh*; M., Anand Kumar
Abstract	Poster	Recurrent Connections Facilitate Learning Symmetry Perception	Sundaram, Shobhita*; Sinha, Darius; Groth, Matt; Boix, Xavier