ICLR 2023 Conference Submissions

Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Suppression helps: Lateral Inhibition-inspired Convolutional Neural Network for Image Classification
Chengyuan Zhuang, Xiaohui Yuan, XUAN GUO
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Factorized Fourier Neural Operators
Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong
- Published: 01 Feb 2023, Last Modified: 12 Mar 2024
- ICLR 2023 poster
- Readers: Everyone
DFPC: Data flow driven pruning of coupled channels without data.
Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Finding Actual Descent Directions for Adversarial Training
Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
A Study of Biologically Plausible Neural Network: the Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
pFedKT: Personalized Federated Learning via Knowledge Transfer
Liping Yi, Xiaorong Shi, Gang Wang, xiaoguang Liu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
FARE: Provably Fair Representation Learning
Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev
- Published: 01 Feb 2023, Last Modified: 12 Mar 2024
- Submitted to ICLR 2023
- Readers: Everyone
ONLINE RESTLESS BANDITS WITH UNOBSERVED STATES
Bowen Jiang, Bo Jiang, Jian Li, TAO LIN, Xinbing Wang, Chenghu Zhou
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Learning to aggregate: A parameterized aggregator to debias aggregation for cross-device federated learning
Tao Shen, Kun Kuang, Yaliang Li, Feng Wang, Zheqi Lv, Hongxia Yang, Chao Wu, Fei Wu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Deep Reinforcement Learning based Insight Selection Policy
Libio Goncalves Braz, Allmin Pradhap Singh Susaiyah, Milan Petkovic, Aki Härmä
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Data Leakage in Tabular Federated Learning
Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev
- Published: 01 Feb 2023, Last Modified: 12 Mar 2024
- Submitted to ICLR 2023
- Readers: Everyone
Long-horizon video prediction using a dynamic latent hierarchy
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
SwinZS3: Zero-Shot Semantic Segmentation with a Swin Transformer
Tian YingJie, Wang YiQi
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Softened Symbol Grounding for Neuro-symbolic Systems
Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian L\"{u}
- Published: 01 Feb 2023, Last Modified: 25 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Encoding Recurrence into Transformers
Feiqing Huang, Kexin Lu, Yuxi CAI, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Human-Guided Fair Classification for Natural Language Processing
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin Vechev
- Published: 01 Feb 2023, Last Modified: 12 Mar 2024
- ICLR 2023 notable top 25%
- Readers: Everyone
Proper Scoring Rules for Survival Analysis
Hiroki Yanagisawa
- Published: 01 Feb 2023, Last Modified: 12 Mar 2024
- Submitted to ICLR 2023
- Readers: Everyone
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti, Matéo Mahaut, Pierre-Yves Oudeyer, Ida Momennejad, Clément Moulin-Frier
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
Gregory Schwartzman
- Published: 01 Feb 2023, Last Modified: 22 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Convergence is Not Enough: Average-Case Performance of No-Regret Learning Dynamics
Iosif Sakos, Stefanos Leonardos, William Overman, Stelios Andrew Stavroulakis, Ioannis Panageas, Georgios Piliouras
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Gene finding revisited: improved robustness through structured decoding from learning embeddings
Frederikke Isa Marin, Dennis Pultz, Wouter Boomsma
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
Yu Yu, Hassan Sajjad, Jia Xu
- Published: 01 Feb 2023, Last Modified: 03 Mar 2023
- ICLR 2023 poster
- Readers: Everyone