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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)

Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon ACL 2023 Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 FFAEval: Evaluating Dialogue System via Free-For-All Ranking EMNLP 2023 F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives ICCV 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation NeurIPS 2023 Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation EMNLP 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases ACL 2023 Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML 2023 FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations NeurIPS 2023 FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition SemEval 2023 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training CVPR 2023 Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization EMNLP 2023 Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression AAAI 2023 Finding Actual Descent Directions for Adversarial Training ICLR 2023 Finding Authentic Counterhate Arguments: A Case Study with Public Figures EMNLP 2023 Finding Geometric Models by Clustering in the Consensus Space CVPR 2023 Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages ACL 2023 Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages EACL 2023 Finding Support Examples for In-Context Learning EMNLP 2023 Finding the Pillars of Strength for Multi-Head Attention ACL 2023