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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)

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024 ComCLIP: Training-Free Compositional Image and Text Matching NAACL 2024 CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding NeurIPS 2024 Common Event Tethering to Improve Prediction of Rare Clinical Events UAI 2024 Common-Individual Semantic Fusion for Multi-View Multi-Label Learning IJCAI 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication EMNLP 2024 Communication Bounds for the Distributed Experts Problem NeurIPS 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024 Community-Invariant Graph Contrastive Learning ICML 2024 CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models ICLR 2024 Compact Proofs of Model Performance via Mechanistic Interpretability NeurIPS 2024 Comparing News Framing of Migration Crises using Zero-Shot Classification COLING 2024 Comparing panic and anxiety on a dataset collected from social media EACL 2024 Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024 Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges ACL 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs ACL 2024 Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization ICLR 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024 Composite Backdoor Attacks Against Large Language Models NAACL 2024 Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions AAAI 2024 Compositional Chain-of-Thought Prompting for Large Multimodal Models CVPR 2024