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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)

Domain Incremental Lifelong Learning in an Open World ACL 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation NeurIPS 2023 Domain-specific Attention with Distributional Signatures for Multi-Domain End-to-end Task-Oriented Dialogue ACL 2023 Domain Transfer for Empathy, Distress, and Personality Prediction ACL 2023 DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023 Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning ACL 2023 Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords ACL 2023 Don’t Add, don’t Miss: Effective Content Preserving Generation from Pre-Selected Text Spans EMNLP 2023 Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation AAAI 2023 Don’t fear the unlabelled: safe semi-supervised learning via debiasing ICLR 2023 Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion EACL 2023 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner NeurIPS 2023 Don’t Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters Interspeech 2023 Don’t waste a single annotation: improving single-label classifiers through soft labels EMNLP 2023 Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval AAAI 2023 Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP 2023 Do Perceptually Aligned Gradients Imply Robustness? ICML 2023 Do Pre-Trained Models Benefit Equally in Continual Learning? WACV 2023 Do Question Answering Modeling Improvements Hold Across Benchmarks? ACL 2023 Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning NeurIPS 2023 Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition EMNLP 2023 DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures Interspeech 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 Double-Weighting for Covariate Shift Adaptation ICML 2023