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ORCID1st Tiny Papers @ ICLR 2023, Kigali, Rwanda
- Krystal Maughan, Rosanne Liu, Thomas F. Burns:
The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023. OpenReview.net 2023
- Emmanouil Seferis, Simon Burton, Chih-Hong Cheng:
Statistical Property Testing for Generative Models. - Emmanouil Seferis, Simon Burton, Chih-Hong Cheng:
Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models? - Xuemei Zhou, Lingfang Li, Xingzhou Zheng, Mingxing Luo:
A two-parameter learnable Logmoid Activation Unit. - Mahmoud Zamani, Saquib Irtiza, Shamila Wickramasuriya, Latifur Khan, Kevin W. Hamlen:
Cross Domain Vulnerability Detection using Graph Contrastive Learning. - Renjith P. Ravindran, Narayana Murthy Kavi:
Tiny Attention: A Simple yet Effective Method for Learning Contextual Word Embeddings. - Cyril Gorlla:
Training Data Eigenvector Dynamics in the EigenPro Implementation of the Neural Tangent Kernel and Recursive Feature Machines. - Suman Sapkota, Binod Bhattarai:
Metric Transform: Exploring beyond Affine Transform for Neural Networks. - Royden Wagner, Marvin Klemp, Carlos Fernandez Lopez:
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features. - Arnav Pati, Deepak Mewada, Debasis Samanta:
Meta-Learning for Subject Adaptation in Low-Data Environments for EEG-Based Motor Imagery Brain-Computer Interfaces. - Karthika Kamath, Tanya Upadhyay, Jieya Rawal, Kirtana Sunil Phatnani, Biju Dominic:
Fostering Effective Communication Between Humans and Machines. - Roger Byakunda:
Transfer Learning on Kinyarwanda Tweets Sentiment Analysis. - Jiacheng Liu, Siqi Guo:
Symbolic Regression in Financial Economics. - Nicolas M. Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác:
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. - Ahmedeo Shokry, Antonio Norelli:
Learning Rotation-Agnostic Representations via Group Equivariant VAEs. - Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed:
Can Text Encoders be Deceived by Length Attack? - Joseph Domguia, Guy Adingono Nkama:
Whispering Across the Continent: Collecting and Analyzing African Culture Using Community Radios. - Thomas X. Wang, Patrick Gallinari:
Handling unstructured data for operator learning using implicit neural representations. - Amro Salman, Ayman Saeed, Khalid N. Elmadani, Sharief Babiker:
Model Extraction Attacks on DistilBERT. - Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan:
One Important Thing To Do Before Federated Training. - Kinshuk Dua:
Insights into the mechanism behind reusing Teacher's classifier in Knowledge Distillation. - Wenxuan Liu, Lukun Wang, Jiaming Pei:
When will federated learning transfer from generalization to personalization? - Zeinab Sadat Taghavi, Ali Satvaty, Hossein Sameti:
A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion. - Islam Utyagulov, Francois Buet-Golfouse, Peter Hill:
Fairness Under Partial Observability. - Charlie Tan, Theodore Long, Sarah Zhao, Rudolf Laine:
Geodesic Mode Connectivity. - Joseph L. Briones, Andréa W. Richa:
Pursuit Policies in Dynamic Environments. - Dharshan Sampath Kumar, Pranav Jeevan, Amit Sethi:
Resource-efficient image inpainting. - Jonas Jürß, Dulhan Hansaja Jayalath:
Recursive Reasoning with Neural Networks. - Duaa Badradein Alshareif, Taiseer Abdulateef Fadlalla, Muhammed Yahya Saeed, Hiba Hassan S. M. Ali:
SUDANESE ARABIC DIALECT ENCODING USING XLM-RoBERTa LANGUAGE MODEL: Zol-ROBERTA. - Denys Kaliuzhnyi, Dmytro Fishman, Mikhail Papkov:
Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology. - Ujjawal Shah, Saurav Keshari Aryal:
Experimenting with Multimodal AutoML: Detection and Evaluation of Alzheimer's Disease. - Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. - Valeria Ruscio, Valentino Maiorca, Fabrizio Silvestri:
Attention-likelihood relationship in Transformers. - Mayank Jain, Soumyabrata Dev:
Truly Generative Data Augmentation for Image Segmentation - Case of Cloud Images. - Joonas Ariva, Mikhail Papkov:
Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising. - Hilit Segev, Gal Chechik:
Personalized Federated Learning for Medical Segmentation using Hypernetworks. - Micaela Tayoto Cerilla, Aaron Santillan, Carl John Vinas, Michael B. Dela Fuente:
Career Path Modeling and Recommendations with Linkedin Career Data and Predicted Salary Estimations. - Mircea Tudor Lica, David Dinucu-Jianu:
Sleep Deprivation in the Forward-Forward Algorithm. - Liat Bezalel, Eyal Orgad:
MetaXLR - Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit. - Aaquib Syed, Phillip Huang Guo, Vijaykaarti Sundarapandiyan:
Prune and Tune: Improving Efficient Pruning Techniques for Massive Language Models. - Hassan Abbelkarim, Mohammed Eltahir, Khalid N. Elmadani, Anas Showk:
Model Extraction Attacks on Arabic BERT-Based APIs. - Insik Chung, Isaac Han, Kyung-Joong Kim:
IMITATION LEARNING USING THE FORWARD-FORWARD ALGORITHM. - Cheril Shah, Yashashree Chandak, Manan Suri:
The Geometry of Multilingual Language Models: An Equality Lens. - Parth Pahwa, Kabir Thakur, Francois Buet-Golfouse:
Dynamic Human AI Collaboration. - Ben Hayes, Charalampos Saitis, György Fazekas:
The Responsibility Problem in Neural Networks with Unordered Targets. - Jiayi Liao, Xu Chen, Lun Du:
Concept Understanding in Large Language Models: An Empirical Study. - Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. - Nicholas William David Martin, Peter Hill, Ting Sheng Tan, Francois Buet-Golfouse:
Sustainable Resource Management. - Yuxin Tang:
Chain Of Thought Prompting Under Streaming Batch: A Case Study. - Xiuchao Sui, Shaohua Li, Hong Yang, Hongyuan Zhu, Yan Wu:
Language Models can do Zero-Shot Visual Referring Expression Comprehension. - Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple Parameter-free Self-attention Approximation. - Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. - Peter Hill, Francois Buet-Golfouse:
Decomposing Causality and Fairness. - Pavel Chizhov, Mikhail Papkov:
Self-Supervised Image Denoising with Swin Transformer. - 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. - Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt:
GeValDi: Generative Validation of Discriminative Models. - Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. - Dev Gurung, Shiva Raj Pokhrel, Gang Li:
Secure Communication Model for Quantum Federated Learning: A Proof of Concept. - Chunlin Tian, Zhan Shi, Li Li:
Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. - Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. - Lucia Cipolina-Kun:
MARKOVIAN EMBEDDINGS FOR COALITIONAL BARGAINING GAMES. - Jianfei Ma:
The Point to Which Soft Actor-Critic Converges. - Dulhan Hansaja Jayalath, Alisia Maria Lupidi, Yonatan Gideoni:
No Double Descent in Self-Supervised Learning. - Johannes Zenn, Robert Bamler:
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers. - Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques:
Generalised Lookahead Optimiser. - Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Revisiting CounteRGAN for Counterfactual Explainability of Graphs. - Bradley CA Brown, Jordan Juravsky, Atif Mahmud, Wais Shahbaz, Ryan Saul Ehrlich:
Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. - Effat Farhana:
RETHINKING POSITIONAL EMBEDDING: A CASE STUDY IN TEMPORAL EVENT SEQUENCE MODELLING. - Seyed Ali YaghoubNejad, Mohammad Taghi Manzuri:
Exploring Efficient and Simple Initialization Strategies for Bayesian Optimization with SETUP-BO. - Neeraja Abhyankar:
Quota Constraints for Diversity Interventions in Subset Selection. - Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan:
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. - Hager Adil, Abrar Elidrisi, Muhammed Saeed:
Knowledge Distillation of BERT Language Model on the Arabic Language. - Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan:
Offensiveness as an Opinion: Dissecting population-level Label Distributions. - Jackson Kaunismaa, Michael Guerzhoy:
How do ConvNets Understand Image Intensity? - Novena Agnes:
Learning Weight Sensitivity from Entropy. - Reza Bayat:
A Study on Sample Diversity in Generative Models: GANs vs. Diffusion Models. - Borui Cai, Yong Xiang, Yao Zhao:
Artificial Intelligent Life: A New Perspective on Artificial General Intelligence. - Yao Du, Felix Juefei-Xu:
Generative AI for Therapy? Opportunities and Barriers for ChatGPT in Speech-Language Therapy. - Mohammad Aflah Khan, Neemesh Yadav, Mohit Jain, Sanyam Goyal:
The Art of Embedding Fusion: Optimizing Hate Speech Detection. - Beverly Abadines Quon, Jean-Luc Gaudiot:
COLLABORATIVE CONCEPT DRIFT DETECTION. - Dibyanshu Shekhar, Sree Harsha Nelaturu, Ashwath Shetty, Ilia Sucholutsky:
End-to-End Learnable Masks With Differentiable Indexing. - Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. - Saurav Keshari Aryal, Gaurav Adhikari:
Evaluating Impact of Emoticons and Pre-processing on Sentiment Classification of Translated African Tweets. - Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim:
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. - Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. - Hrishav Sapkota, Saurav Keshari Aryal, Howard Prioleau:
Zero-Shot Classification Reveals Potential Positive Sentiment Bias in African Languages Translations. - Kristin Qi, Jiali Cheng, Daniel Haehn:
Lesion Search with Self-supervised Learning. - Howard Prioleau, Saurav Keshari Aryal:
Feature Importance Analysis for Mini Mental Status Score Prediction in Alzheimer's Disease. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. - Jerry Ngo
, Swami Sankaranarayanan, Phillip Isola:
Is CLIP Fooled by Optical Illusions? - Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. - Xingyi Yang:
Towards Stochastic Gradient Variance Reduction by Solving a Filtering Problem. - Asim Awad Osman, Ahmed Emadeldin Almahady, Muhammed Saeed, Hiba Hassan Sayed:
MACHINE TRANSLATION BASELINES FOR ARABIC - SWAHILI. - Yunzhe Xue, Usman Roshan:
Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble. - Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. - Monica Isgut, Neha Jain, Andrew Hornback, Karan Samel, May Dongmei Wang:
GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings. - Nicholas Soucy, Salimeh Yasaei Sekeh:
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. - Alayt Issak, Lav R. Varshney:
Prompt Programming for the Visual Domain. - Alayt Issak, Sarthak Kakkar, Sair Goetz, Nik Bear Brown, Casper Harteveld:
Mapping the Typographic Latent Space of Digits. - Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal:
Hyperbolic Deep Reinforcement Learning for Continuous Control. - Camille Besombes, Adeetya Patel, Sreenath Arekunnath Madathil:
Incorporating Expert Prior Knowledge for Oral Lesion Recognition. - Sidharth Lakshmanan, Philip J. Y. Leung, Jeffrey Nivala:
LEARNING LIGHTWEIGHT STRUCTURE-AWARE EMBEDDINGS FOR PROTEIN SEQUENCES. - Dawson Kinsman, Tian An Wong:
Proactive policing as reinforcement learning. - Johan Samir Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro:
The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning. - Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. - Micah Tewers:
A Brief History of the Speculative Measures for Autonomy. - Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers:
Semantic feature verification in FLAN-T5. - Abhishek Gupta, Emily Dardaman:
Augmenting Collective Intelligence through Belbin's Team Roles. - Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling:
Text2Face: 3D Morphable Faces From Text. - Sheila Alemany, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou:
Towards Parametric Robust Activation Functions in Adversarial Machine Learning. - Julio Arroyo, Pietro Perona, Elijah Cole:
Understanding Label Bias in Single Positive Multi-Label Learning. - Abdulhameed Abiola Dere:
Knowledge and Attitude of Medical Students and Doctors towards Artificial Intelligence: A study of University of Ilorin. - Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers:
Human-machine cooperation for semantic feature listing. - Michael Tetelman:
Improving generalization by loss modification. - Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný:
A Rate-Distortion View on Model Updates. - Qinyue Tan, Ashkan Kazemi, Rada Mihalcea:
Text-Based Games as a Challenging Benchmark for Large Language Models. - Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal:
Learned Learning Rate Schedules for Deep Neural Network Training Using Reinforcement Learning. - Samin Heydarian, Tohid Abedini, Alireza Morsali, Moein Heidari:
Speaker-Invariant Speech Recognition through Fine-Tuning on Individual-Specific Data with Voice Conversion. - Rafik Hachana, Vladimir V. Ivanov:
Effect of training fragment length on Transformers in text complexity prediction. - Charline Le Lan, Rishabh Agarwal:
Revisiting Bisimulation: A Sampling-Based State Similarity Pseudo-metric. - Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal:
Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning. - Tohid Abedini, Samin Heydarian, Moein Heidari, Alireza Morsali:
Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading. - Rafik Hachana, Adil Khan:
Effects of Single-Attribute Control on the Music Generated by FIGARO. - Dejana Mandic, Wieland Brendel, Claudio Michaelis:
Iterative weakly supervised learning for novel class object detection. - Vignesh Ganapathiraman, Francisco Javier Calderon, Anila Joshi:
BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD. - Alaeddin Selçuk Gürel, Aydin Gerek:
Train Monolingual, Infer Bilingual. - Neil Ashtekar, Vasant G. Honavar:
A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data. - Chandan Kumar, Matthew J. Darr, Ali Jannesari:
Discerning Self-Supervised Learning and Weakly Supervised Learning. - Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian:
DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs. - Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. - Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal:
An Analysis of Transferability in Network Intrusion Detection using Distributed Deep Learning.