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