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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)

Wandering within a world: Online contextualized few-shot learning ICLR 2021 Wanderlust: Online Continual Object Detection in the Real World ICCV 2021 Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021 Warp Consistency for Unsupervised Learning of Dense Correspondences ICCV 2021 Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency ICCV 2021 WARP: Word-level Adversarial ReProgramming ACL 2021 WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction EACL 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Wasserstein Contrastive Representation Distillation CVPR 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NeurIPS 2021 Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021 Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021 Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification CVPR 2021 wav2vec-C: A Self-Supervised Model for Speech Representation Learning Interspeech 2021 Waypoint Models for Instruction-Guided Navigation in Continuous Environments ICCV 2021 WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning AAAI 2021 Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator ICCV 2021 Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations ICCV 2021 Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning ICCV 2021 Weakly Supervised Action Selection Learning in Video CVPR 2021 Weakly Supervised Construction of ASR Systems from Massive Video Data Interspeech 2021 Weakly Supervised Contrastive Learning ICCV 2021 Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021