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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)

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024 ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos EMNLP 2024 ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations CVPR 2024 ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NeurIPS 2024 ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024 ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation CVPR 2024 EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce AAAI 2024 EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning EMNLP 2024 ECON: On the Detection and Resolution of Evidence Conflicts EMNLP 2024 EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification NAACL 2024 EDDA: An Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection COLING 2024 Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SemEval 2024 EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024 Edit One for All: Interactive Batch Image Editing CVPR 2024 EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals NeurIPS 2024 EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning NeurIPS 2024 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024 Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries NAACL 2024 Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation AAAI 2024 Effective Data Augmentation With Diffusion Models ICLR 2024 Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024 Effective In-Context Example Selection through Data Compression ACL 2024 Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task ACL 2024 Effective pruning of web-scale datasets based on complexity of concept clusters ICLR 2024 Effective Restoration of Source Knowledge in Continual Test Time Adaptation WACV 2024