Multi-Task Learning

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation ACL 2024 iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples NAACL 2024 Identifying Selections for Unsupervised Subtask Discovery NeurIPS 2024 IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes SemEval 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting WACV 2024 InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset WACV 2024 Initializing Services in Interactive ML Systems for Diverse Users NeurIPS 2024 Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024 Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging EMNLP 2024 Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue ACL 2024 Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization EACL 2024 Interactive Network Perturbation Between Teacher and Students for Semi-Supervised Semantic Segmentation WACV 2024 Interplay of Machine Translation, Diacritics, and Diacritization NAACL 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases EMNLP 2024 JOADAA: Joint Online Action Detection and Action Anticipation WACV 2024 Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NeurIPS 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving AAAI 2024 KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization IJCAI 2024 L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models EMNLP 2024 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024