ICLR 2024 Conference Submissions

FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN
Riccardo Santambrogio, Marco Cannici, Matteo Matteucci
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
Lin Li, Jianing Qiu, Michael W. Spratling
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Embeddings for Sequential Tasks Using Population of Agents
Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$R^2$: Range Regularization for Model Compression and Quantization
Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ARB: Advanced Reasoning Benchmark for Large Language Models
Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli, Paula Vidas, Alexander Perikles Kranias, John J Nay, Kshitij Gupta, Aran Komatsuzaki
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conservative World Models
Scott Jeen, Tom Bewley, Sergey Levine, Jonathan Cullen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Out-of-Variable Generalisation for Discriminative Models
Siyuan Guo, Jonas Bernhard Wildberger, Bernhard Schölkopf
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Semi-supervised batch learning from logged data
Gholamali Aminian, Armin Behnamnia, Roberto Vega, Laura Toni, Chengchun Shi, Hamid R. Rabiee, Omar Rivasplata, Miguel R. D. Rodrigues
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improved Variational Bayesian Phylogenetic Inference using Mixtures
Oskar Kviman, Ricky Molén, Jens Lagergren
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
Matthieu Terris, Thomas Moreau
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The optimality of kernel classifiers in Sobolev space
Jianfa Lai, zhifan Li, Dongming Huang, Qian Lin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Corgi$^2$: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD
Etay Livne, Gal Kaplun, eran malach, Shai Shalev-Shwartz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning a Reusable Meta Denoiser for Learning with Noisy Labels on Multiple Target Domains
Ming-Kun Xie, Bo-Shi Zou, Gang Niu, Chen-Chen Zong, Kun-Peng Ning, Masashi Sugiyama, Sheng-Jun Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu, Jie Wang, Ning Xu, Xin Geng
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Hangjie Shi, Suhaila Shakiah, Reza Ghanadan, William Yang Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spectral Self-supervised Feature Selection
Daniel Segal, Ofir Lindenbaum, Ariel Jaffe
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
EquiAV: Single-modal Equivariance Promotes Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho, Junmo Kim, Joon Son Chung
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Objective Reinforcement Learning for Forward-Backward Markov Decision Processes
Mohsen Amidzadeh, Mario Di Francesco
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Personas as a way to Model Truthfulness in Language Models
Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone