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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

EmFORE: Learning Email Folder Classification Rules by Demonstration AAAI 2024 EM for Mixture of Linear Regression with Clustered Data AISTATS 2024 emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography NeurIPS 2024 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NeurIPS 2024 EmoBench: Evaluating the Emotional Intelligence of Large Language Models ACL 2024 Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition Interspeech 2024 Emo-Gen BART - A Multitask Emotion-Informed Dialogue Generation Framework EACL 2024 Emotags: Computer-Assisted Verbal Labelling of Expressive Audiovisual Utterances for Expressive Multimodal TTS COLING 2024 emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation ACL 2024 Emotional Cues Extraction and Fusion for Multi-modal Emotion Prediction and Recognition in Conversation Interspeech 2024 Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation NAACL 2024 Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge Interspeech 2024 Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis ACL 2024 Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning NeurIPS 2024 Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling AAAI 2024 EmoTrans: Emotional Transition-based Model for Emotion Recognition in Conversation COLING 2024 EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning CVPR 2024 Empirical Analysis of Dialogue Relation Extraction with Large Language Models IJCAI 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science NeurIPS 2024 Empowering cross-lingual abilities of instruction-tuned large language models by translation-following demonstrations ACL 2024 Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Empowering Large Language Models for Textual Data Augmentation ACL 2024 Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling Interspeech 2024