Tiny Papers @ ICLR

Keyphrases

Publications

2023

Thomas X. Wang, Patrick Gallinari
Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR (2023)
Camille Besombes, Adeetya Patel, Sreenath Arekunnath Madathil
Incorporating Expert Prior Knowledge for Oral Lesion Recognition. Tiny Papers @ ICLR (2023)
Bilan Gao, YoungBin Kim
Towards Robust Feature Learning with t-vFM Similarity for Continual Learning. Tiny Papers @ ICLR (2023)
Dawson Kinsman, Tian An Wong
Proactive policing as reinforcement learning. Tiny Papers @ ICLR (2023)
Abdalrhman Mostafa, Nour-Mounira Z. Bakkar, Mohamed Abdelhack, Ahmed F. El-Yazbi
Can Arterial Blood Pressure Predict Age? A ConvNet Classification Task. Tiny Papers @ ICLR (2023)
Matija Franklin
General Purpose Artificial Intelligence Systems as Group Agents. Tiny Papers @ ICLR (2023)
Mubarek Mohammed
ARTIFICIAL PSYCHOLOGY. Tiny Papers @ ICLR (2023)
Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen
Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR (2023)
Yunzhe Xue, Usman Roshan
Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble. Tiny Papers @ ICLR (2023)
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR (2023)
Saurav Keshari Aryal, Gaurav Adhikari
Evaluating Impact of Emoticons and Pre-processing on Sentiment Classification of Translated African Tweets. Tiny Papers @ ICLR (2023)
Islam Utyagulov, Francois Buet-Golfouse, Peter Hill
Fairness Under Partial Observability. Tiny Papers @ ICLR (2023)
Roman Koshkin, Tomoki Fukai
Unsupervised Detection of Cell Assemblies with Graph Neural Networks. Tiny Papers @ ICLR (2023)
Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR (2023)
Yao Du, Felix Juefei-Xu
Generative AI for Therapy? Opportunities and Barriers for ChatGPT in Speech-Language Therapy. Tiny Papers @ ICLR (2023)
Ahmedeo Shokry, Antonio Norelli
Learning Rotation-Agnostic Representations via Group Equivariant VAEs. Tiny Papers @ ICLR (2023)
Maya Janvier
Group Equivariant Convolutional Networks. Tiny Papers @ ICLR (2023)
Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. Tiny Papers @ ICLR (2023)
Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
An Analysis of Transferability in Network Intrusion Detection using Distributed Deep Learning. Tiny Papers @ ICLR (2023)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. Tiny Papers @ ICLR (2023)
Xuan Yang, Andrew Smart, Daniel Theron
Statistical Methods for Auditing the Quality of Manual Content Reviews. Tiny Papers @ ICLR (2023)
Howard Prioleau, Saurav Keshari Aryal
Feature Importance Analysis for Mini Mental Status Score Prediction in Alzheimer's Disease. Tiny Papers @ ICLR (2023)
Mahmoud Zamani, Saquib Irtiza, Shamila Wickramasuriya, Latifur Khan, Kevin W. Hamlen
Cross Domain Vulnerability Detection using Graph Contrastive Learning. Tiny Papers @ ICLR (2023)
Ender Minyard, Steven Kolawole, Nayan Saxena
Evolutionary Federated Learning Using Particle Swarm Optimization. Tiny Papers @ ICLR (2023)
Abhishek Gupta, Emily Dardaman
Augmenting Collective Intelligence through Belbin's Team Roles. Tiny Papers @ ICLR (2023)
Jerry Ngo, Swami Sankaranarayanan, Phillip Isola
Is CLIP Fooled by Optical Illusions? Tiny Papers @ ICLR (2023)
Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal
Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning. Tiny Papers @ ICLR (2023)
Ujjawal Shah, Saurav Keshari Aryal
Experimenting with Multimodal AutoML: Detection and Evaluation of Alzheimer's Disease. Tiny Papers @ ICLR (2023)
Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. Tiny Papers @ ICLR (2023)
Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers
Semantic feature verification in FLAN-T5. Tiny Papers @ ICLR (2023)
Cheng-Kuang Wu, Wei-Lin Chen, Hsin-Hsi Chen
Large Language Models Perform Diagnostic Reasoning. Tiny Papers @ ICLR (2023)
Neil Ashtekar, Vasant G. Honavar
A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data. Tiny Papers @ ICLR (2023)
Lisa Bonheme, Marek Grzes
The Polarised Regime of identifiable Variational Autoencoders. Tiny Papers @ ICLR (2023)
Udaybhan Rathore, Akshay Agarwal
Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? Tiny Papers @ ICLR (2023)
Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling
Text2Face: 3D Morphable Faces From Text. Tiny Papers @ ICLR (2023)
Pengzhi Li, Zhiheng Li
Efficient Temporal Denoising for Improved Depth Map Applications. Tiny Papers @ ICLR (2023)
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. Tiny Papers @ ICLR (2023)
Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, Katharina Baum
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data. Tiny Papers @ ICLR (2023)
Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan
One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR (2023)
Johan Samir Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro
The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning. Tiny Papers @ ICLR (2023)
Alexander Capstick, Payam M. Barnaghi
Predicting Targets with Data from Non-Conforming Sources. Tiny Papers @ ICLR (2023)
Renjith P. Ravindran, Narayana Murthy Kavi
Tiny Attention: A Simple yet Effective Method for Learning Contextual Word Embeddings. Tiny Papers @ ICLR (2023)
Hung D. Phan, Ali Jannesari
Integrating Information from Natural Language Parse Tree to Code Generation. Tiny Papers @ ICLR (2023)
Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR (2023)
Mayank Jain, Soumyabrata Dev
Truly Generative Data Augmentation for Image Segmentation - Case of Cloud Images. Tiny Papers @ ICLR (2023)
Reza Bayat
A Study on Sample Diversity in Generative Models: GANs vs. Diffusion Models. Tiny Papers @ ICLR (2023)
Bradley CA Brown, Jordan Juravsky, Atif Mahmud, Wais Shahbaz, Ryan Saul Ehrlich
Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. Tiny Papers @ ICLR (2023)
Samin Heydarian, Tohid Abedini, Alireza Morsali, Moein Heidari
Speaker-Invariant Speech Recognition through Fine-Tuning on Individual-Specific Data with Voice Conversion. Tiny Papers @ ICLR (2023)
Nicolas M. Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. Tiny Papers @ ICLR (2023)
Tom George
Theta sequences as eligibility traces: A biological solution to credit assignment. Tiny Papers @ ICLR (2023)