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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 Knowledge Graph Relational Reasoning via Subgraph Adaptation NAACL 2024 Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024 Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024 Few-Shot Learning via Repurposing Ensemble of Black-Box Models AAAI 2024 Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024 Few-Shot Neural Radiance Fields under Unconstrained Illumination AAAI 2024 Few-Shot Object Detection with Foundation Models CVPR 2024 Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024 Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024 Few-shot Question Generation for Reading Comprehension ACL 2024 Few-Shot Relation Extraction with Hybrid Visual Evidence COLING 2024 Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning COLING 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 Few-Shot Task Learning through Inverse Generative Modeling NeurIPS 2024 Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024 Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries ICML 2024 Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition NAACL 2024 FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training NeurIPS 2024 FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models CVPR 2024 FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions AAAI 2024 FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features WACV 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024