ICLR 2024 Conference Submissions

PolySketchFormer: Fast Transformers via Sketches for Polynomial Kernels
Praneeth Kacham, Vahab Mirrokni, Peilin Zhong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity
Arto Maranjyan, Mher Safaryan, Peter Richtárik
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CLAM: Class-wise Layer-wise Attribute Model for Explaining Neural Networks
Seung-Ho Han, Ho-Jin Choi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dataset Fairness: Achievable Fairness On Your Data With Utility Guarantees
Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Image Super-Resolution via Latent Diffusion: A Sampling-Space Mixture of Experts and Frequency-Augmented Decoder Approach
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Yang Wei
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conditional Variational Diffusion Models
Gabriel Della Maggiora, Luis Alberto Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Revisiting DeepFool: generalization and improvement
Alireza Abdolahpourrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Topological Expressive Power of ReLU Neural Networks
Moritz Leo Grillo, Ekin Ergen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Metric Space Magnitude for Evaluating Unsupervised Representation Learning
Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
InfoNet: Missing Information Retrieval in Multi-Stream Sensing Systems
Subrata Kumar Biswas, Bashima Islam
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bridging Autoregressive and Masked Modeling for Enhanced Visual Representation Learning
Tianqi Du, Yifei Wang, Yisen Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Olga Tsymboi, Ivan Oseledets
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mitigating Estimation Errors By Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning
Junmin Zhong, Ruofan Wu, Jennie Si
- 22 Sept 2023 (modified: 03 Jun 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Distributed Linear Dimensionality Reduction Assisted by Centralized NN for Classification
Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness Shroff
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte, Aleksanteri Mikulus Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Stateless Mean-Field Games: A Framework for Independent Learning with Large Populations
Batuhan Yardim, Semih Cayci, Niao He
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Don't trust your eyes: on the (un)reliability of feature visualizations
Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau, Wieland Brendel, Been Kim
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Connected Hidden Neurons (CHNNet): An Artificial Neural Network for Rapid Convergence
Rafiad Sadat Shahir, Zayed Humayun, Mashrufa Akter Tamim, Shouri Saha, Md. Golam Rabiul Alam
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch, Gbetondji Jean-Sebastien Dovonon, Jean Kaddour, Ricardo Silva
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints
Fengxue Zhang, Zejie Zhu, Yuxin Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimizing the trade-off between utility and performance in interpretable sleep classification
Irfan Al-Hussaini, Eric Carl Landsness, Cassie S. Mitchell
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone