NeurIPS 2022 Workshop ICBINB Submissions

Exploring the Long-Term Generalization of Counting Behavior in RNNs
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
- Published: 06 Dec 2022, Last Modified: 22 Oct 2023
- ICBINB poster
- Readers: Everyone
Scaling Laws Beyond Backpropagation
Matthew Filipovich, Alessandro Cappelli, Daniel Hesslow, Julien Launay
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions
Yiren Liu, S. Joe Qin, Xiangyu Zhao, Yixiao HUANG, Shenglong Yao, Guo Han
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
Omkar Bhushan Gokhale, Aditya Kane, Shantanu Patankar, Tanmay Chavan, Raviraj Bhuminand Joshi
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
On Equivalences between Weight and Function-Space Langevin Dynamics
Ziyu Wang, Yuhao Zhou, Ruqi Zhang, Jun Zhu
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Pitfalls of conditional computation for multi-modal learning
Ivaxi Sheth, Mohammad Havaei, Samira Ebrahimi Kahou
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
The Effect of Data Dimensionality on Neural Network Prunability
Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Spike-and-Slab Probabilistic Backpropagation: When Smarter Approximations Make No Difference
Evan Ott, Sinead Williamson
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
The Best Deep Ensembles Sacrifice Predictive Diversity
Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham
- 02 Oct 2022 (modified: 05 May 2023)
- ICBINB talk
- Readers: Everyone
Can We Forecast And Detect Earthquakes From Heterogeneous Multivariate Time Series Data?
Luke Cullen, Asadullah Hill Galib, Andrew William Smith, Debvrat Varshney, Edward Brown, Peter Chi, Xiangning Chu, Filip Svoboda
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Models with Conditional Computation Learn Suboptimal Solutions
Muqeeth Mohammed, Haokun Liu, Colin Raffel
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging
Abhishek Moturu, Sayali Joshi, Andrea S. Doria, Anna Goldenberg
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB spotlight
- Readers: Everyone
On The Diversity of ASR Hypotheses In Spoken Language Understanding
Surya Kant Sahu, Swaraj Dalmia
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Lessons from Developing Multimodal Models with Code and Developer Interactions
Nicholas Botzer, Sameera Horawalavithana, Tim Weninger, Svitlana Volkova
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks
Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Continuous Soft Pseudo-Labeling in ASR
Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB spotlight
- Readers: Everyone
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
Yongyi Yang, Jacob Steinhardt, Wei Hu
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
On the Maximum Hessian Eigenvalue and Generalization
Simran Kaur, Jeremy Cohen, Zachary Chase Lipton
- 02 Oct 2022 (modified: 22 Oct 2023)
- ICBINB talk
- Readers: Everyone
Model Stitching: Looking For Functional Similarity Between Representations
Adriano Hernandez, Rumen Dangovski, Peter Y. Lu
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
On the Sparsity of Image Super-resolution Network
Chenyu Dong, Hailong Ma, Jinjin Gu, Ruofan Zhang, Jieming Li, Chun Yuan
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Paradigmatic Revolutions in Computer Vision
Andreas Kriegler
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
Denoising Deep Generative Models
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John Patrick Cunningham, Jesse C Cresswell, Anthony L. Caterini
- Published: 06 Dec 2022, Last Modified: 22 Oct 2023
- ICBINB spotlight
- Readers: Everyone
The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
Fadhel Ayed, Soufiane Hayou
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott, Ting Liu, Michael Curtis Mozer, Andrew Gallagher
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone