ICLR 2024 Conference Submissions

Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leveraging Heterogeneous Side Information via Diffusion Models for Time-series Anomaly Detection
Hanchen Xiong, Janmey Shukla, Aakarshan Chauhan, Zicun Cong, Dianhuan Lin
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Pipeline-Based Approach for Object Detection on Resource Constrained Internet of Things Devices
Vagner Takiya Bonadio, Geovane Fedrecheski, Laisa Costa, Marcelo Knorich Zuffo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang, Bryan A. Plummer
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Variance-Reduced Meta-Learning via Laplace Approximation
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Haojie Huang, Owen Lewis Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions
Yilong Qin, Andrej Risteski
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Matthias Lindemann, Alexander Koller, Ivan Titov
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adversarial Imitation Learning from Visual Observations using Latent Information
Vittorio Giammarino, James Queeney, Ioannis Paschalidis
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Yandoka Denamganai, Sondess Missaoui, James Alfred Walker
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Non-Vacuous Generalization Bounds for Large Language Models
Sanae Lotfi, Marc Anton Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Clifford Group Equivariant Simplicial Message Passing Networks
Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient calibration as a binary top-versus-all problem for classifiers with many classes
Adrien Le Coz, Stéphane Herbin, Faouzi Adjed
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
RL Simplex: Bringing Computational Efficiency in Linear Programming via Reinforcement Learning
Guantao Zhao, Amin Dehghanian, Mahdi Noorizadegan, Nicoleta Serban
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Regulating the level of manipulation in text augmentation with systematic adjustment and advanced sentence-embedding
Youhoo Cha, Younghoon Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The (co)limit of metabeliefs
Benjamin Sheller, Patrick Shafto
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FTFT: efficient and robust Fine-Tuning by transFerring Training dynamics
Yupei Du, Albert Gatt, Dong Nguyen
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CAUSAL NEURAL NETWORKS FOR CONTINUOUS TREATMENT EFFECT ESTIMATION
Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou
- 22 Sept 2023 (modified: 30 Apr 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On Using Admissible Bounds for Learning Forward Search Heuristics
Carlos Núñez-Molina, Masataro Asai, Juan Fernandez-Olivares, Pablo Mesejo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MultiContrievers: Analysis of Dense Retrieval Representations
Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick Lewis
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Vision-by-Language for Training-Free Compositional Image Retrieval
Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction
Xiang HAO, Jibin Wu, Jianwei Yu, Chenglin Xu, KC Tan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone