Supervised Learning

CUET_NLP_GoodFellows@DravidianLangTech EACL2024: A Transformer-Based Approach for Detecting Fake News in Dravidian Languages EACL 2024 DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NeurIPS 2024 DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SemEval 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees AAAI 2024 Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024 DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction AAAI 2024 Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning SemEval 2024 Derandomizing Multi-Distribution Learning NeurIPS 2024 DeRDaVa: Deletion-Robust Data Valuation for Machine Learning AAAI 2024 Detecting Content Segments From Online Sports Streaming Events: Challenges and Solutions WACV 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks NeurIPS 2024 DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection SemEval 2024 EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024 Effects of different types of noise in user-generated reviews on human and machine translations including ChatGPT EACL 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 EmFORE: Learning Email Folder Classification Rules by Demonstration AAAI 2024 End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024 Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NeurIPS 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 ESG-FTSE: A Corpus of News Articles with ESG Relevance Labels and Use Cases COLING 2024