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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)

Effective Synthetic Data and Test-Time Adaptation for OCR Correction EMNLP 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 Effects of different types of noise in user-generated reviews on human and machine translations including ChatGPT EACL 2024 Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation ACL 2024 Efficiency for Free: Ideal Data Are Transportable Representations NeurIPS 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Efficient Active Learning with Adapters EMNLP 2024 Efficient Adversarial Training in LLMs with Continuous Attacks NeurIPS 2024 Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024 Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment CVPR 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Audio Captioning with Encoder-Level Knowledge Distillation Interspeech 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios ICLR 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficient Constrained K-center Clustering with Background Knowledge AAAI 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Continual Pre-training for Building Domain Specific Large Language Models ACL 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024 Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model ACL 2024 Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024 Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 Efficient Feature Distillation for Zero-Shot Annotation Object Detection WACV 2024