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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)

ConStat: Performance-Based Contamination Detection in Large Language Models NeurIPS 2024 ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NeurIPS 2024 Constrained Decoding for Cross-lingual Label Projection ICLR 2024 Constrained Diffusion Models via Dual Training NeurIPS 2024 Constrained Ensemble Exploration for Unsupervised Skill Discovery ICML 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases EACL 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024 Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge EMNLP 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NeurIPS 2024 Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation CVPR 2024 Contamination-source based K-sample clustering JMLR 2024 ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction ACL 2024 Content Filtering with Inattentive Information Consumers AAAI 2024 Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth CVPR 2024 Context-aware Adversarial Attack on Named Entity Recognition EACL 2024 Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation EMNLP 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Context-aware Difference Distilling for Multi-change Captioning ACL 2024 Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History EMNLP 2024 Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues ACL 2024 Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models EMNLP 2024