multi-task learning

MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets. SemEval 2023 MAGVIT: Masked Generative Video Transformer CVPR 2023 Masked Representation Learning for Domain Generalized Stereo Matching CVPR 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling ACL 2023 MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation EMNLP 2023 MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL AAAI 2023 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023 Mitigating Negative Style Transfer in Hybrid Dialogue System AAAI 2023 Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract) AAAI 2023 Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives CVPR 2023 ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait” SemEval 2023 MMER: Multimodal Multi-task Learning for Speech Emotion Recognition Interspeech 2023 MMLung: Moving Closer to Practical Lung Health Estimation using Smartphones Interspeech 2023 MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition Interspeech 2023 Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms EMNLP 2023 Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners CVPR 2023 MOSLight: A Lightweight Data-Efficient System for Non-Intrusive Speech Quality Assessment Interspeech 2023 MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning EMNLP 2023 MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets Interspeech 2023 MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis AAAI 2023 MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations Interspeech 2023 MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis AAAI 2023 Multi-doc Hybrid Summarization via Salient Representation Learning ACL 2023