Bridging AI and Cognitive Science (BAICS)
International Conference on Learning Representations (ICLR)
April 26, 2020
@baicsworkshop · #BAICS2020
For each paper being presented at the workshop, we will host (1) the pre-recorded presentation from SlidesLive, (2) a Rocket.Chat chatroom for text-based discussion, and (3) a Zoom meeting room. All of these can be found from each paper's landing page (which you can access by clicking on the title of the relevant paper).
The Zoom meeting rooms will be open only during the poster session timeslots (see the Schedule), during which authors will join the meeting rooms to allow you to ask them questions face-to-face. We encourage you to first watch the presentation associated with the paper, and then join the Zoom meeting room to ask questions and engage in further discussion.
Session 1 (2-3pm GMT)
Title | Authors | Track | |
---|---|---|---|
From heuristic to optimal models in naturalistic visual search (Oral) | Angela Radulescu, Bas van Opheusden, Frederick Callaway, Thomas Griffiths, and James Hillis | Research | |
Public Self-consciousness for Endowing Consistent Persona to Dialogue Agents (Oral) | Hyunwoo Kim, Byeongchang Kim, and Gunhee Kim | Research | |
Reinforcement Learning through Active Inference (Spotlight) | Alexander D Tschanz, Beren Millidge, Anil Seth, and Christopher Buckley | Research | |
Global-Local Network for Learning Depth Via Interaction (Spotlight) | Antonio Loquercio, Alexey Dosovitskiy, and Davide Scaramuzza | Research | |
Entropy Minimization In Emergent Languages (Spotlight) | Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni | Research | |
What can human minimal videos tell us about dynamic recognition models? (Spotlight) | Guy Ben-Yosef, Gabriel Kreiman, and Shimon Ullman | Research | |
Probabilistic Successor Features Allow for Flexible Behaviour (Spotlight) | Jesse Geerts, Kimberly Stachenfeld, and Neil Burgess | Research | |
Levels of Analysis for Machine Learning (Spotlight) | Jessica Hamrick and Shakir Mohamed | Blue Sky Ideas | |
Coarse-to-Fine Curriculum Learning for Classification (Spotlight) | Otilia Stretcu, Anthony Platanios, Tom Mitchell, and Barnabas Poczos | Research | |
Ecological Semantics: Programming Environments for Situated Language Understanding (Spotlight) | Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, and Reut Tsarfaty | Blue Sky Ideas | |
Analyzing acoustic word embeddings (Spotlight) | Yevgen Matusevych, Herman Kamper, and Sharon Goldwater | Research | |
Convolutional Neural Networks as a Model of Visual Activity in The Brain: Greater Contribution of Architecture Than Learned Weights | Anna Truzzi and Rhodri Cusack | Research | |
Can neural network language models understand spatial perspective? | Carolyn J Anderson and Tessa Masis | Research | |
Learning Intuitive Physics Through Objects | Luis S Piloto, Ari Weinstein, Peter Battaglia, and Matthew Botvinick | Research | |
Learning Hierarchical Syntactic Transformations with Encoder-Decoder Networks | Max A Nelson | Research | |
Towards Curiosity-Driven Learning of Physical Dynamics | Michael Lingelbach, Damian Mrowca, Nick Haber, Li Fei-Fei, and Daniel Yamins | Research | |
Deep Active Inference for Autonomous Robot Navigation | Ozan Catal, Tim Verbelen, Cedric De Boom, Bart Dhoedt, and Samuel T Wauthier | Research | |
Weakly-Supervised Trajectory Segmentation for Learning Reusable Skills | Parsa Mahmoudieh, Trevor Darrell, and Deepak Pathak | Research | |
On Systematic Generalization of Sequence to Sequence Models | Prabhu Prakash Kagitha | Research | |
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias | Satyam Mohla, Anshul Nasery, Biplab Banerjee, and Subhasis Chaudhuri | Research | |
A Neuro-AI Interface for Evaluating Generative Adversarial Networks | Zhengwei Wang, Qi She, Alan Smeaton, Tomas Ward, and Graham Healy | Research |
Session 2 (9-10pm GMT)
Title | Authors | Track | |
---|---|---|---|
Exploring Exploration: Comparing Children with RL agents in Unified Environments (Oral) | Eliza Kosoy, Jasmine Collins, David Chan, Jessica Hamrick, Sandy H Huang, John F Canny, and Alison Gopnik | Blue Sky Ideas | |
Brain-like replay for continual learning with artificial neural networks (Oral) | Gido M van de Ven, Hava Siegelmann, and Andreas Tolias | Research | |
Product Kanerva Machines: Factorized Bayesian Memory (Spotlight) | Adam Marblestone, Yan Wu, and Greg Wayne | Research | |
Model Zoology and Neural Taskonomy for Better Characterizing Mouse Visual Cortex (Spotlight) | Colin Conwell, Michael Buice, Andrei Barbu, and George Alvarez | Research | |
Towards modeling the developmental variability of human attention (Spotlight) | Daniel Yamins, Kun Ho Kim, Megumi Sano, Julian De Freitas, and Nick Haber | Blue Sky Ideas | |
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning (Spotlight) | Dung Nguyen, Svetha Venkatesh, and Truyen Tran | Research | |
Cognitive Architectures for Introspecting Deep Reinforcement Learning Agents (Spotlight) | Konstantinos Mitsopoulos, Sterling Somers, Christian Lebiere, and Robert Thomson | Blue Sky Ideas | |
Mental models for neural models (Spotlight) | Owen Lewis | Blue Sky Ideas | |
Relaxed Graph Matching for Analogical Reasoning (Spotlight) | Simon Segert, Mariano Tepper, Javier S Turek, and Jonathan Cohen | Research | |
On Memory in Human and Artificial Language Processing Systems | Aida Nematzadeh, Sebastian Ruder, and Dani Yogatama | Blue Sky Ideas | |
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment | Ajaz A Bhat | Research | |
Learning robust visual representations using data augmentation invariance | Alex Hernández-García, Peter König, and Tim C. Kietzmann | Research | |
Curiosity Increases Equality in Competitive Resource Allocation | Bernadette K Bucher, Siddharth Singh, Clelia de Mulatier, Kostas Daniilidis, and Vijay Balasubramanian | Research | |
The perceptual boost of visual attention is task-dependent in naturalistic settings | Freddie Bickford Smith, Xiaoliang Luo, Brett Roads, and Bradley Love | Research | |
Attention Driven Dynamic Memory Maps | Himanshu Sahni, Shray Bansal, and Charles Isbell | Research | |
Deep Learning Needs a Prefrontal Cortex | Jacob L Russin, Randall O'Reilly, and Yoshua Bengio | Blue Sky Ideas | |
Active World Model Learning in Agent-rich Environments with Progress Curiosity | Kun Ho Kim, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins | Research | |
Toward A Neuro-Inspired Creative Decoder | Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, and Dhruv Shah | Research | |
What does a pruned deep neural network "forget"? | Sara Hooker, Aaron Courville, Andrea Frome, and Yann Dauphin | Research | |
Modeling Conversation Context by Adapting Cognitive Architectures | Sashank Santhanam and Samira Shaikh | Research | |
Simulated sleep helps to generalize knowledge in a spiking network trained with spike-timing dependent plasticity | Timothy Tadros, Giri Krishnan, and Maxim Bazhenov | Research | |
Toward Human-like Object Naming in Artificial Neural Systems | Tiwalayo Eisape, Roger Levy, Joshua B. Tenenbaum, and Noga Zaslavsky | Research |