ICLR 2024 Conference Submissions

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance
Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
M-IDAS: MULTI-MODAL INTRUSION DETECTION AND ANALYTIC SYSTEM
Mengmeng GE, Ruitao FENG, Xiangzhan YU, Xiaofei Xie, Kwok-Yan Lam, Yang Liu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Jianfei Yang, Hanjie Qian, Yuecong Xu, Kai Wang, Lihua Xie
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Transformers Perform In-Context Learning through Neural Networks
Zhijie Wang, Bo Jiang, Shuai Li
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Violence Detection and Localization in Video Through Subgroup Analysis
Emmeke A Veltmeijer, Morris E Franken, Charlotte Gerritsen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Causal Influence-Aware Counterfactual Data Augmentation
Núria Armengol Urpí, Georg Martius
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sinkhorn Output Perturbations: Structured Pseudo-Label Noise in Semi-Supervised Segmentation
Robert Mendel, David Rauber, Christoph Palm
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Luciano Del Corro, Allison Del Giorno, Sahaj Agarwal, Bin Yu, Ahmed Hassan Awadallah, Subhabrata Mukherjee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis, Ioannis Patras
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Scalabale AI Safety via Doubly-Efficient Debate
Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Architectural Insights for efficient Physics-Informed Neural Network optimization
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Samuel Pinilla, Jeyan Thiyagalingam
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
CARENET : A NOVEL ARCHITECTURE FOR LOW DATA REGIME MIXING CONVOLUTIONS AND ATTENTION
Aurélie Cools, Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring the State and Action Space in Reinforcement Learning with Infinite-Dimensional Confidence Balls
Yucong Lin, Yicheng Teng, Jingda Wu, Junwei Lu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Seeing Video Through Optical Scattering Media using Spatio-Temporal Diffusion Models
Taesung Kwon, Gookho Song, Yoosun Kim, Jong Chul Ye, Mooseok Jang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Value function estimation using conditional diffusion models for control
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R Devon Hjelm, Alexander T Toshev, Joshua M. Susskind
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model
Jui-Yi Tsai, Ya-Wen Teng, HO CHIOK YEW, De-Nian Yang, Lydia Y. Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-View Causal Representation Learning with Partial Observability
Dingling Yao, Danru Xu, Sebastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D Data
Shunxing Fan, Mingming Gong, Kun Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring the Combined Power of Covariance and Hessian Matrices Eigenanalysis for Binary Classification
Agus Hartoyo, Jan Kazimierz Argasiński, Aleksandra Trenk, Kinga Przybylska, Anna Blasiak, Alessandro Crimi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unsupervised Detection of Recurrent Patterns in Neural Recordings with Constrained Filters
Roman Koshkin, Tomoki Fukai
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Double Rounding Quantization for Flexible Deep Neural Network Compression
Haiduo Huang, Zhenhua Liu, Kai Han, Pengju Ren, Yunhe Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang, Hao Cheng, MingCai Chen, Chongjun Wang, Hongxin Wei
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone