Sat 6:15 a.m. - 6:25 a.m.
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Welcome and Opening Remarks
(
Opening Remarks
)
>
SlidesLive Video
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馃敆
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Sat 6:25 a.m. - 6:30 a.m.
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Introduction to ICBINB
(
Briefing
)
>
SlidesLive Video
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馃敆
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Sat 6:30 a.m. - 6:55 a.m.
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Jeffrey Bowers: Researchers Comparing DNNs to Brains Need to Adopt Standard Methods of Science.
(
Invited Talk
)
>
SlidesLive Video
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Jeffrey Bowers
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Sat 6:55 a.m. - 7:00 a.m.
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Jeffrey Bowers: Researchers Comparing DNNs to Brains Need to Adopt Standard Methods of Science.
(
Q&A
)
>
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Jeffrey Bowers
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Sat 7:00 a.m. - 7:25 a.m.
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Lawrence Udeigwe: On the Elements of Theory in Neuroscience.
(
Invited Talk
)
>
SlidesLive Video
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Lawrence Udeigwe
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Sat 7:25 a.m. - 7:30 a.m.
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Lawrence Udeigwe: On the Elements of Theory in Neuroscience.
(
Q&A
)
>
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Lawrence Udeigwe
馃敆
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Sat 7:30 a.m. - 7:35 a.m.
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Spotlight 1 - Elre Talea Oldewage: Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
(
Spotlight Talk
)
>
SlidesLive Video
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Elre Oldewage
馃敆
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Sat 7:35 a.m. - 7:40 a.m.
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Spotlight 2 - Abhishek Moturu: Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging
(
Spotlight Talk
)
>
SlidesLive Video
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Abhishek Moturu
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Sat 7:40 a.m. - 7:45 a.m.
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Spotlight 3 -Rebecca Saul: Lempel-Ziv Networks
(
Spotlight Talk
)
>
SlidesLive Video
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Rebecca Saul
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Sat 7:45 a.m. - 7:50 a.m.
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Spotlight 4 -Tatiana Likhomanenko: Continuous Soft Pseudo-Labeling in ASR
(
Spotlight Talk
)
>
SlidesLive Video
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Tatiana Likhomanenko
馃敆
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Sat 7:50 a.m. - 7:55 a.m.
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Spotlight 5 - Gabriel Loaiza-Ganem: Denoising Deep Generative Models
(
Spotlight Talk
)
>
SlidesLive Video
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Gabriel Loaiza-Ganem
馃敆
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Sat 7:55 a.m. - 8:00 a.m.
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Spotlight 6 - Sheheryar Zaidi: When Does Re-initialization Work?
(
Spotlight Talk
)
>
SlidesLive Video
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Sheheryar Zaidi
馃敆
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Sat 8:00 a.m. - 8:30 a.m.
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Coffee Break (and Poster Session Set Up)
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馃敆
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Sat 8:30 a.m. - 10:00 a.m.
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Poster Session
(
Poster Session
)
>
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馃敆
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Sat 9:30 a.m. - 10:00 a.m.
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ICBINB Virtual Meet-Up
(
Virtual Gathering
)
>
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馃敆
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Sat 9:30 a.m. - 10:00 a.m.
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ICBINB In-Person Meet-Up
(
Informal Gathering
)
>
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馃敆
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Sat 10:00 a.m. - 11:00 a.m.
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Lunch break
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馃敆
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Sat 11:00 a.m. - 11:25 a.m.
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Kathrin Grosse: On the Limitations of Bayesian Uncertainty in Adversarial Settings.
(
Invited Talk
)
>
SlidesLive Video
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Kathrin Grosse
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Sat 11:25 a.m. - 11:30 a.m.
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Kathrin Grosse: On the Limitations on Bayesian Uncertainty in Adversarial Settings.
(
Q&A
)
>
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Kathrin Grosse
馃敆
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Sat 11:30 a.m. - 11:55 a.m.
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Andrew Gordon Wilson: When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization
(
Invited Talk
)
>
SlidesLive Video
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Andrew Gordon Wilson
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Sat 11:55 a.m. - 12:00 p.m.
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Andrew Gordon Wilson: When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization
(
Q&A
)
>
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Andrew Gordon Wilson
馃敆
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Sat 12:00 p.m. - 12:25 p.m.
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Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges.
(
Invited Talk
)
>
SlidesLive Video
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Kun Zhang
馃敆
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Sat 12:25 p.m. - 12:30 p.m.
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Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges.
(
Q&A
)
>
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Kun Zhang
馃敆
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Sat 12:30 p.m. - 12:40 p.m.
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Piersilvio De Bartolomeis: Certified defences hurt generalisation
(
Contributed Talk
)
>
SlidesLive Video
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Piersilvio De Bartolomeis
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Sat 12:40 p.m. - 12:50 p.m.
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Simran Kaur: On the Maximum Hessian Eigenvalue and Generalization
(
Contributed Talk
)
>
SlidesLive Video
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Simran Kaur
馃敆
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Sat 12:50 p.m. - 1:00 p.m.
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Taiga Abe: The Best Deep Ensembles Sacrifice Predictive Diversity
(
Contributed Talk
)
>
SlidesLive Video
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馃敆
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Sat 1:00 p.m. - 1:30 p.m.
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Coffee break
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馃敆
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Sat 1:30 p.m. - 1:55 p.m.
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Fanny Yang: Surprising failures of standard practices in ML when the sample size is small.
(
Invited Talk
)
>
SlidesLive Video
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Fanny Yang
馃敆
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Sat 1:55 p.m. - 2:00 p.m.
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Fanny Yang: Surprising failures of standard practices in ML when the sample size is small.
(
Q&A
)
>
|
Fanny Yang
馃敆
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Sat 2:00 p.m. - 2:50 p.m.
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Panel Discussion - What Role Should Empiricism Play in Building AI?
(
Panel Discussion
)
>
SlidesLive Video
|
馃敆
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Sat 2:50 p.m. - 3:00 p.m.
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Closing remarks & awards
(
Closing remarks
)
>
SlidesLive Video
|
馃敆
|
-
|
Exploring the Long-Term Generalization of Counting Behavior in RNNs
(
Poster
)
>
link
|
Nadine El-Naggar 路 Pranava Madhyastha 路 Tillman Weyde
馃敆
|
-
|
Scaling Laws Beyond Backpropagation
(
Poster
)
>
link
|
Matthew Filipovich 路 Alessandro Cappelli 路 Daniel Hesslow 路 Julien Launay
馃敆
|
-
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Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions
(
Poster
)
>
link
|
Yiren Liu 路 S. Joe Qin 路 Xiangyu Zhao 路 Yixiao HUANG 路 Shenglong Yao 路 Guo Han
馃敆
|
-
|
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
(
Poster
)
>
link
|
Omkar Gokhale 路 Aditya Kane 路 Shantanu Patankar 路 Tanmay Chavan 路 Raviraj Joshi
馃敆
|
-
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On Equivalences between Weight and Function-Space Langevin Dynamics
(
Poster
)
>
link
|
Ziyu Wang 路 Yuhao Zhou 路 Ruqi Zhang 路 Jun Zhu
馃敆
|
-
|
Pitfalls of conditional computation for multi-modal learning
(
Poster
)
>
link
|
Ivaxi Sheth 路 Mohammad Havaei 路 Samira Ebrahimi Kahou
馃敆
|
-
|
The Effect of Data Dimensionality on Neural Network Prunability
(
Poster
)
>
link
|
Zachary Ankner 路 Alex Renda 路 Gintare Karolina Dziugaite 路 Jonathan Frankle 路 Tian Jin
馃敆
|
-
|
Spike-and-Slab Probabilistic Backpropagation: When Smarter Approximations Make No Difference
(
Poster
)
>
link
|
Evan Ott 路 Sinead Williamson
馃敆
|
-
|
Can We Forecast And Detect Earthquakes From Heterogeneous Multivariate Time Series Data?
(
Poster
)
>
link
|
Asadullah Hill Galib 路 Luke Cullen 路 Andy Smith 路 Debvrat Varshney 路 Edward Brown 路 Peter Chi 路 Xiangning Chu 路 Filip Svoboda
馃敆
|
-
|
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
(
Poster
)
>
link
|
Yoonho Lee 路 Annie Chen 路 Fahim Tajwar 路 Ananya Kumar 路 Huaxiu Yao 路 Percy Liang 路 Chelsea Finn
馃敆
|
-
|
Models with Conditional Computation Learn Suboptimal Solutions
(
Poster
)
>
link
|
Mohammed Muqeeth 路 Haokun Liu 路 Colin Raffel
馃敆
|
-
|
On The Diversity of ASR Hypotheses In Spoken Language Understanding
(
Poster
)
>
link
|
Surya Kant Sahu 路 Swaraj Dalmia
馃敆
|
-
|
Lessons from Developing Multimodal Models with Code and Developer Interactions
(
Poster
)
>
link
|
Nicholas Botzer 路 Yasanka Horawalavithana 路 Tim Weninger 路 Svitlana Volkova
馃敆
|
-
|
An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks
(
Poster
)
>
link
|
Jiayu Yao 路 Yaniv Yacoby 路 Beau Coker 路 Weiwei Pan 路 Finale Doshi-Velez
馃敆
|
-
|
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
(
Poster
)
>
link
|
Yongyi Yang 路 Jacob Steinhardt 路 Wei Hu
馃敆
|
-
|
Model Stitching: Looking For Functional Similarity Between Representations
(
Poster
)
>
link
|
Adriano Hernandez 路 Rumen Dangovski 路 Peter Y. Lu
馃敆
|
-
|
On the Sparsity of Image Super-resolution Network
(
Poster
)
>
link
|
Chenyu Dong 路 Hailong Ma 路 Jinjin Gu 路 Ruofan Zhang 路 Jieming Li 路 Chun Yuan
馃敆
|
-
|
Paradigmatic Revolutions in Computer Vision
(
Poster
)
>
link
|
Andreas Kriegler
馃敆
|
-
|
The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
(
Poster
)
>
link
|
Fadhel Ayed 路 Soufiane Hayou
馃敆
|
-
|
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
(
Poster
)
>
link
|
Tyler Scott 路 Ting Liu 路 Michael Mozer 路 Andrew Gallagher
馃敆
|
-
|
When Are Graph Neural Networks Better Than Structure-Agnostic Methods?
(
Poster
)
>
link
|
Diana Gomes 路 Fred RL 路 Kyriakos Efthymiadis 路 Ann Nowe 路 Peter Vrancx
馃敆
|
-
|
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
(
Poster
)
>
link
|
Sumedh Dattaguru Pendurkar 路 Taoan Huang 路 Sven Koenig 路 Guni Sharon
馃敆
|
-
|
DARTFormer: Finding The Best Type Of Attention
(
Poster
)
>
link
|
Jason Brown 路 Yiren Zhao 路 I Shumailov 路 Robert Mullins
馃敆
|
-
|
Exploring the Sharpened Cosine Similarity
(
Poster
)
>
link
|
Skyler Wu 路 Fred Lu 路 Edward Raff 路 James Holt
馃敆
|
-
|
Are you using test log-likelihood correctly?
(
Poster
)
>
link
|
Sameer Deshpande 路 Soumya Ghosh 路 Tin Nguyen 路 Tamara Broderick
馃敆
|
-
|
Identifying the Context Shift between Test Benchmarks and Production Data
(
Poster
)
>
link
|
Matt Groh
馃敆
|
-
|
On the performance of Direct Loss Minimization for Bayesian Neural Networks
(
Poster
)
>
link
|
Yadi Wei 路 Roni Khardon
馃敆
|
-
|
Analysing the Relations of Misclassified Inputs Between Models
(
Poster
)
>
link
|
Hadar Shavit
馃敆
|
-
|
How many trained neural networks are needed for influence estimation in modern deep learning?
(
Poster
)
>
link
|
Sasha (Alexandre) Doubov 路 Tianshi Cao 路 David Acuna 路 Sanja Fidler
馃敆
|
-
|
Much Easier Said Than Done: Falsifying the Causal Relevance of Decoding Methods
(
Poster
)
>
link
|
Lucas Hayne 路 Abhijit Suresh 路 Hunar Jain 路 Rahul Kumar Mohan Kumar 路 R. McKell Carter
馃敆
|
-
|
Evaluating Robust Perceptual Losses for Image Reconstruction
(
Poster
)
>
link
|
Tobias Uelwer 路 Felix Michels 路 Oliver De Candido
馃敆
|
-
|
The Best Deep Ensembles Sacrifice Predictive Diversity
(
Poster
)
>
link
|
Taiga Abe 路 Estefany Kelly Buchanan 路 Geoff Pleiss 路 John Cunningham
馃敆
|
-
|
Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging
(
Poster
)
>
link
|
Abhishek Moturu 路 Sayali Joshi 路 Andrea Doria 路 Anna Goldenberg
馃敆
|
-
|
Continuous Soft Pseudo-Labeling in ASR
(
Poster
)
>
link
|
Tatiana Likhomanenko 路 Ronan Collobert 路 Navdeep Jaitly 路 Samy Bengio
馃敆
|
-
|
On the Maximum Hessian Eigenvalue and Generalization
(
Poster
)
>
link
|
Simran Kaur 路 Jeremy M Cohen 路 Zachary Lipton
馃敆
|
-
|
Denoising Deep Generative Models
(
Poster
)
>
link
|
Gabriel Loaiza-Ganem 路 Brendan Ross 路 Luhuan Wu 路 John Cunningham 路 Jesse Cresswell 路 Anthony Caterini
馃敆
|
-
|
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
(
Poster
)
>
link
|
Elre Oldewage 路 John Bronskill 路 Richard Turner
馃敆
|
-
|
Certified defences hurt generalisation
(
Poster
)
>
link
|
Piersilvio De Bartolomeis 路 Jacob Clarysse 路 Fanny Yang 路 Amartya Sanyal
馃敆
|
-
|
When Does Re-initialization Work?
(
Poster
)
>
link
|
Sheheryar Zaidi 路 Tudor Berariu 路 Hyunjik Kim 路 Jorg Bornschein 路 Claudia Clopath 路 Yee Whye Teh 路 Razvan Pascanu
馃敆
|
-
|
Lempel-Ziv Networks
(
Poster
)
>
link
|
Rebecca Saul 路 Mohammad Mahmudul Alam 路 John Hurwitz 路 Edward Raff 路 Tim Oates 路 James Holt
馃敆
|