Tiny Papers @ ICLR

Publications

2024

Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR (2024)
Wenchuan Mu, Kwan Hui Lim
Explicitly Stating Assumptions Reduces Hallucinations in Natural Language Inference. Tiny Papers @ ICLR (2024)
Lingyi Yang, Zhen Shao
Neural Controlled Differential Equations with Quantum Hidden Evolutions. Tiny Papers @ ICLR (2024)
Sankarshanaa Sagaram, Laven Srivastava, Krish Didwania, Aditya Kasliwal, Pallavi Kailas, Ujjwal Verma
Solar Panel Segmentation: Self-Supervised Learning Solutions for Imperfect Datasets. Tiny Papers @ ICLR (2024)
Peihua Mai, Hao Jiang, Ran Yan, Youjia Yang, Zhe Huang, Yan Pang
Knowledge Graph Unlearning to Defend Language Model Against Jailbreak Attack. Tiny Papers @ ICLR (2024)
Manuel Dileo, Matteo Zignani
Can Graph Neural Networks learn node-level structural features? Tiny Papers @ ICLR (2024)
Megan Su, Yuwei Bao
User Modeling Challenges in Interactive AI Assistant Systems. Tiny Papers @ ICLR (2024)
Aishik Nagar, Shantanu Jaiswal, Cheston Tan
Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models. Tiny Papers @ ICLR (2024)
Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic
Is Watermarking LLM-Generated Code Robust? Tiny Papers @ ICLR (2024)
Ziniu Li, Tian Xu, Yang Yu
When is RL better than DPO in RLHF? A Representation and Optimization Perspective. Tiny Papers @ ICLR (2024)
Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Salekul Islam
VoltaVision: A Transfer Learning model for electronic component classification. Tiny Papers @ ICLR (2024)
Srilekha Geda, Chunjiang Zhu
Density-Preserving Heterogeneous Graph Sparsification for Representation Learning. Tiny Papers @ ICLR (2024)
Rishi Gupta, Vaibhav Kumar
Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. Tiny Papers @ ICLR (2024)
Jiaming Pei, Haotian Wu
Entropy-aided prompt Federated learning. Tiny Papers @ ICLR (2024)
Chendong Xiang, Armando Teles Fortes, Khang Hui Chua, Hang Su, Jun Zhu
FeedFace: Efficient Inference-based Face Personalization via Diffusion Models. Tiny Papers @ ICLR (2024)
Dor Tsur, Haim H. Permuter
Visualizing Information Conservation and Decomposition via the Information Matrix. Tiny Papers @ ICLR (2024)
Sumit Soman, Sujoy Roychowdhury
Observations on Building RAG Systems for Technical Documents. Tiny Papers @ ICLR (2024)
Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. Tiny Papers @ ICLR (2024)
Arnav Chavan, Nahush Lele, Deepak Gupta
Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. Tiny Papers @ ICLR (2024)
Víctor Gallego
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective. Tiny Papers @ ICLR (2024)
Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR (2024)
Akash Guna R. T., Arnav Chavan, Deepak Gupta
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. Tiny Papers @ ICLR (2024)
Chaehyeon Kim, Weiqiu You, Shreya Havaldar, Eric Wong
Evaluating Groups of Features via Consistency, Contiguity, and Stability. Tiny Papers @ ICLR (2024)
David Herel, Tomás Mikolov
Collapse of Self-trained Language Models. Tiny Papers @ ICLR (2024)
Wenjie Shu, Zien Zhang
DDA: A dual-domain attention plug-and-play prior for pansharpening. Tiny Papers @ ICLR (2024)
Kshitij Kapoor, Debayan Gupta
Non Parametric Aleatoric Uncertainty Quantification with Neural Networks. Tiny Papers @ ICLR (2024)
Thanh-Thien Le, Linh The Nguyen, Dat Quoc Nguyen
PhoWhisper: Automatic Speech Recognition for Vietnamese. Tiny Papers @ ICLR (2024)
Matthew Lau, Leyan Pan, Stefan Davidov, Athanasios P. Meliopoulos, Wenke Lee
Geometric Implications of Classification on Reducing Open Space Risk. Tiny Papers @ ICLR (2024)
Hruturaj Dhake, Akshay Agarwal
On the Robustness of Drug Abuse Face Classification. Tiny Papers @ ICLR (2024)
Jingyu Hu, Mengnan Du
Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations. Tiny Papers @ ICLR (2024)
Lingyi Yang
Q-Learning as a montone scheme. Tiny Papers @ ICLR (2024)
Blaine Hoak, Patrick D. McDaniel
Explorations in Texture Learning. Tiny Papers @ ICLR (2024)
Medha Hira, Arnav Goel, Anubha Gupta
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. Tiny Papers @ ICLR (2024)
Ritabrata Maiti
AdAct: Learning to Optimize Activation Function Choice through Adaptive Activation Modules. Tiny Papers @ ICLR (2024)
Kirtilekha Bhesra, Shivam Ashok Shukla, Akshay Agarwal
Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. Tiny Papers @ ICLR (2024)
Danil Afonchikov, Elena Kornaeva, Irina Makovik, Alexey Kornaev
Native machine learning for noisy microscopic data processing. Tiny Papers @ ICLR (2024)
Tao Ma, Xuzhi Yang
A Framework for Policy Evaluation Enhancement by Diffusion Models. Tiny Papers @ ICLR (2024)
Gholamali Aminian, Amirhossein Bagheri, Radmehr Karimian, Mahyar JafariNodeh, Mohammad Hossein Yassaee
Semi-supervised Learning under Self-training via $f$-Divergence. Tiny Papers @ ICLR (2024)
Simon Frieder, Mirek Olsák, Julius Berner, Thomas Lukasiewicz
The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. Tiny Papers @ ICLR (2024)
Eric Hanchen Jiang, Andrew Lizarraga
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. Tiny Papers @ ICLR (2024)
Wenqian Li, Shuran Fu, Yan Pang
Distributionally Robust Federated Learning with Wasserstein Barycenter. Tiny Papers @ ICLR (2024)
Borui Cai, Zihao Johnson Zheng, Longxiang Gao, Yong Xiang
Borderline Sample Extraction from a Trained Classifier. Tiny Papers @ ICLR (2024)
Adrián Bazaga, Pietro Lio, Gos Micklem
Language Model Knowledge Distillation for Efficient Question Answering in Spanish. Tiny Papers @ ICLR (2024)
Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee
KLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy. Tiny Papers @ ICLR (2024)
Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
DFWLayer: Differentiable Frank-Wolfe Optimization Layer. Tiny Papers @ ICLR (2024)
Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR (2024)
Jason Vega, Isha Chaudhary, Changming Xu, Gagandeep Singh
Bypassing the Safety Training of Open-Source LLMs with Priming Attacks. Tiny Papers @ ICLR (2024)
Han Xu, Jingyang Ye, Yutong Li, Haipeng Chen
Can Speculative Sampling Accelerate ReAct Without Compromising Reasoning Quality? Tiny Papers @ ICLR (2024)
Juhwan Choi, YoungBin Kim
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. Tiny Papers @ ICLR (2024)
Karen Sargsyan
Combinatorial CNNs for words. Tiny Papers @ ICLR (2024)