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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)

Hyperparameter Selection for Imitation Learning ICML 2021 Hypothesis Disparity Regularized Mutual Information Maximization AAAI 2021 i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions RSS 2021 I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting AAAI 2021 IA-GM: A Deep Bidirectional Learning Method for Graph Matching AAAI 2021 IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction SemEval 2021 IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021 IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification ACL 2021 ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification ICCV 2021 ICL’s Submission to the WMT21 Critical Error Detection Shared Task EMNLP 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases NeurIPS 2021 Identification of the Generalized Condorcet Winner in Multi-dueling Bandits NeurIPS 2021 Identifying and Benchmarking Natural Out-of-Context Prediction Problems NeurIPS 2021 Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021 Identifying Hijacked Reviews ACL 2021 Identifying Named Entities as they are Typed EACL 2021 Identifying the Importance of Content Overlap for Better Cross-lingual Embedding Mappings EMNLP 2021 Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction WACV 2021 IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID ICCV 2021 IDOL: Inertial Deep Orientation-Estimation and Localization AAAI 2021 ID-Reveal: Identity-Aware DeepFake Video Detection ICCV 2021 IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning ICLR 2021 iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration EMNLP 2021 IFDDS: An Anti-fraud Outbound Robot AAAI 2021