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)

TitleAuthorsTrackPDF
From heuristic to optimal models in naturalistic visual search (Oral)Angela Radulescu, Bas van Opheusden, Frederick Callaway, Thomas Griffiths, and James HillisResearchPDF
Public Self-consciousness for Endowing Consistent Persona to Dialogue Agents (Oral)Hyunwoo Kim, Byeongchang Kim, and Gunhee KimResearchPDF
Reinforcement Learning through Active Inference (Spotlight)Alexander D Tschanz, Beren Millidge, Anil Seth, and Christopher BuckleyResearchPDF
Global-Local Network for Learning Depth Via Interaction (Spotlight)Antonio Loquercio, Alexey Dosovitskiy, and Davide ScaramuzzaResearchPDF
Entropy Minimization In Emergent Languages (Spotlight)Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco BaroniResearchPDF
What can human minimal videos tell us about dynamic recognition models? (Spotlight)Guy Ben-Yosef, Gabriel Kreiman, and Shimon UllmanResearchPDF
Probabilistic Successor Features Allow for Flexible Behaviour (Spotlight)Jesse Geerts, Kimberly Stachenfeld, and Neil BurgessResearchPDF
Levels of Analysis for Machine Learning (Spotlight)Jessica Hamrick and Shakir MohamedBlue Sky IdeasPDF
Coarse-to-Fine Curriculum Learning for Classification (Spotlight)Otilia Stretcu, Anthony Platanios, Tom Mitchell, and Barnabas PoczosResearchPDF
Ecological Semantics: Programming Environments for Situated Language Understanding (Spotlight)Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, and Reut TsarfatyBlue Sky IdeasPDF
Analyzing acoustic word embeddings (Spotlight)Yevgen Matusevych, Herman Kamper, and Sharon GoldwaterResearchPDF
Convolutional Neural Networks as a Model of Visual Activity in The Brain: Greater Contribution of Architecture Than Learned WeightsAnna Truzzi and Rhodri CusackResearchPDF
Can neural network language models understand spatial perspective?Carolyn J Anderson and Tessa MasisResearchPDF
Learning Intuitive Physics Through ObjectsLuis S Piloto, Ari Weinstein, Peter Battaglia, and Matthew BotvinickResearchPDF
Learning Hierarchical Syntactic Transformations with Encoder-Decoder NetworksMax A NelsonResearchPDF
Towards Curiosity-Driven Learning of Physical DynamicsMichael Lingelbach, Damian Mrowca, Nick Haber, Li Fei-Fei, and Daniel YaminsResearchPDF
Deep Active Inference for Autonomous Robot NavigationOzan Catal, Tim Verbelen, Cedric De Boom, Bart Dhoedt, and Samuel T WauthierResearchPDF
Weakly-Supervised Trajectory Segmentation for Learning Reusable SkillsParsa Mahmoudieh, Trevor Darrell, and Deepak PathakResearchPDF
On Systematic Generalization of Sequence to Sequence ModelsPrabhu Prakash KagithaResearchPDF
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape BiasSatyam Mohla, Anshul Nasery, Biplab Banerjee, and Subhasis ChaudhuriResearchPDF
A Neuro-AI Interface for Evaluating Generative Adversarial NetworksZhengwei Wang, Qi She, Alan Smeaton, Tomas Ward, and Graham HealyResearchPDF

Session 2 (9-10pm GMT)

TitleAuthorsTrackPDF
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 GopnikBlue Sky IdeasPDF
Brain-like replay for continual learning with artificial neural networks (Oral)Gido M van de Ven, Hava Siegelmann, and Andreas ToliasResearchPDF
Product Kanerva Machines: Factorized Bayesian Memory (Spotlight)Adam Marblestone, Yan Wu, and Greg WayneResearchPDF
Model Zoology and Neural Taskonomy for Better Characterizing Mouse Visual Cortex (Spotlight)Colin Conwell, Michael Buice, Andrei Barbu, and George AlvarezResearchPDF
Towards modeling the developmental variability of human attention (Spotlight)Daniel Yamins, Kun Ho Kim, Megumi Sano, Julian De Freitas, and Nick HaberBlue Sky IdeasPDF
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning (Spotlight)Dung Nguyen, Svetha Venkatesh, and Truyen TranResearchPDF
Cognitive Architectures for Introspecting Deep Reinforcement Learning Agents (Spotlight)Konstantinos Mitsopoulos, Sterling Somers, Christian Lebiere, and Robert ThomsonBlue Sky IdeasPDF
Mental models for neural models (Spotlight)Owen LewisBlue Sky IdeasPDF
Relaxed Graph Matching for Analogical Reasoning (Spotlight)Simon Segert, Mariano Tepper, Javier S Turek, and Jonathan CohenResearchPDF
On Memory in Human and Artificial Language Processing SystemsAida Nematzadeh, Sebastian Ruder, and Dani YogatamaBlue Sky IdeasPDF
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop’s Fable ExperimentAjaz A BhatResearchPDF
Learning robust visual representations using data augmentation invarianceAlex Hernández-García, Peter König, and Tim C. KietzmannResearchPDF
Curiosity Increases Equality in Competitive Resource AllocationBernadette K Bucher, Siddharth Singh, Clelia de Mulatier, Kostas Daniilidis, and Vijay BalasubramanianResearchPDF
The perceptual boost of visual attention is task-dependent in naturalistic settingsFreddie Bickford Smith, Xiaoliang Luo, Brett Roads, and Bradley LoveResearchPDF
Attention Driven Dynamic Memory MapsHimanshu Sahni, Shray Bansal, and Charles IsbellResearchPDF
Deep Learning Needs a Prefrontal CortexJacob L Russin, Randall O’Reilly, and Yoshua BengioBlue Sky IdeasPDF
Active World Model Learning in Agent-rich Environments with Progress CuriosityKun Ho Kim, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel YaminsResearchPDF
Toward A Neuro-Inspired Creative DecoderPayel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, and Dhruv ShahResearchPDF
What does a pruned deep neural network “forget”?Sara Hooker, Aaron Courville, Andrea Frome, and Yann DauphinResearchPDF
Modeling Conversation Context by Adapting Cognitive ArchitecturesSashank Santhanam and Samira ShaikhResearchPDF
Simulated sleep helps to generalize knowledge in a spiking network trained with spike-timing dependent plasticityTimothy Tadros, Giri Krishnan, and Maxim BazhenovResearchPDF
Toward Human-like Object Naming in Artificial Neural SystemsTiwalayo Eisape, Roger Levy, Joshua B. Tenenbaum, and Noga Zaslavsky