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Poster
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Mon 1:00 |
Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang, Sen Li, YinChao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang |
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Poster
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Mon 1:00 |
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang |
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Poster
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Mon 1:00 |
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability Suraj Srinivas, François Fleuret |
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Oral
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Mon 5:30 |
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability Suraj Srinivas, François Fleuret |
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Poster
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Mon 9:00 |
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai, Jonas Wulff, Phillip Isola |
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Poster
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Mon 9:00 |
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua Chang, Patrick A Fletcher, Jungmin Han, Ted Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson Chow |
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Poster
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Mon 9:00 |
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak |
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Poster
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Mon 9:00 |
The role of Disentanglement in Generalisation Milton Montero, Casimir JH Ludwig, Rui Ponte Costa, Gaurav Malhotra, Jeffrey Bowers |
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Poster
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Mon 9:00 |
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew Leavitt, Ari Morcos |
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Poster
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Mon 17:00 |
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Lily Weng, Chuang Gan, Meng Wang |
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Poster
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Tue 1:00 |
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski, Roland Zimmermann, Judith Schepers, Robert Geirhos, Thomas S Wallis, Matthias Bethge, Wieland Brendel |
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Spotlight
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Tue 3:25 |
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking Michael Schlichtkrull, Nicola De Cao, Ivan Titov |
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Poster
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Tue 9:00 |
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov |
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Poster
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Tue 9:00 |
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández Lobato |
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Poster
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Tue 9:00 |
Physics-aware, probabilistic model order reduction with guaranteed stability Sebastian Kaltenbach, PS Koutsourelakis |
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Poster
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Tue 9:00 |
The geometry of integration in text classification RNNs Kyle Aitken, Vinay Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan |
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Poster
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Tue 9:00 |
Tradeoffs in Data Augmentation: An Empirical Study Rapha Gontijo Lopes, Sylvia Smullin, Ekin Cubuk, Ethan Dyer |
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Expo Talk Panel
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Tue 14:00 |
Interpretability with skeptical and user-centric mind Been Kim |
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Poster
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Tue 17:00 |
Debiasing Concept-based Explanations with Causal Analysis Taha Bahadori, David Heckerman |
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Poster
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Tue 17:00 |
Monotonic Kronecker-Factored Lattice William Bakst, Nobuyuki Morioka, Erez Louidor |
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Poster
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Wed 1:00 |
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin, Vincent Le Guen, Jérémie DONA, Emmanuel d Bezenac, Ibrahim Ayed, Nicolas THOME, patrick gallinari |
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Poster
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Wed 1:00 |
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne |
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Poster
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Wed 1:00 |
Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A Vandermeulen, Billy J Franks, Marius Kloft, Klaus R Muller |
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Oral
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Wed 4:05 |
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández Lobato |
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Poster
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Wed 9:00 |
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking Michael Schlichtkrull, Nicola De Cao, Ivan Titov |
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Poster
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Wed 9:00 |
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Robert Csordas, Sjoerd van Steenkiste, Jürgen Schmidhuber |
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Poster
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Wed 17:00 |
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren |
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Poster
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Wed 17:00 |
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig, Ali Madani, Lav R Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani |
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Poster
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Wed 17:00 |
Evaluations and Methods for Explanation through Robustness Analysis Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep K Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh |
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Poster
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Wed 17:00 |
Influence Functions in Deep Learning Are Fragile Samyadeep Basu, Phil Pope, Soheil Feizi |
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Poster
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Wed 17:00 |
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Ng, Gunnar E Carlsson, Stefano Ermon |
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Poster
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Wed 17:00 |
NBDT: Neural-Backed Decision Tree Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah A Bargal, Joseph E Gonzalez |
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Poster
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Wed 17:00 |
A Geometric Analysis of Deep Generative Image Models and Its Applications Binxu Wang, Carlos Ponce |
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Poster
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Thu 1:00 |
Interpretable Models for Granger Causality Using Self-explaining Neural Networks Ričards Marcinkevičs, Julia E Vogt |
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Oral
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Thu 4:20 |
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin, Vincent Le Guen, Jérémie DONA, Emmanuel d Bezenac, Ibrahim Ayed, Nicolas THOME, patrick gallinari |
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Poster
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Thu 17:00 |
Multi-timescale Representation Learning in LSTM Language Models Shivangi Mahto, Vy Vo, Javier Turek, Alexander Huth |
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Poster
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Thu 17:00 |
A Learning Theoretic Perspective on Local Explainability Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar |
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Poster
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Thu 17:00 |
Evaluation of Similarity-based Explanations Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui |
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Poster
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Thu 17:00 |
Prototypical Representation Learning for Relation Extraction Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang |
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Poster
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Thu 17:00 |
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders Mangal Prakash, Alexander Krull, Florian Jug |
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Poster
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Thu 17:00 |
Convex Regularization behind Neural Reconstruction Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M Pauly |
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Workshop
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Fri 3:25 |
Do Input Gradients Highlight Discriminative Features? Harshay Shah |
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Workshop
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Fri 6:00 |
AIMOCC -- AI: Modeling Oceans and Climate Change Luis Martí, Nayat Sánchez-Pi |
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Workshop
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Fri 6:45 |
Responsible AI (RAI) Ahmad Beirami, Emily Black, Krishna Gummadi, Hoda Heidari, Baharan Mirzasoleiman, Meisam Razaviyayn, Joshua Williams |
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Workshop
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Fri 7:00 |
Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective Yan Leng |
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Workshop
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Fri 10:30 |
Gal Mishne: Visualizing the PHATE of deep neural networks Gal Mishne |