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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)

Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping ICCV 2021 Weakly Supervised Text-Based Person Re-Identification ICCV 2021 Weakly-supervised Text Classification Based on Keyword Graph EMNLP 2021 Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021 Weakly Supervised Video Salient Object Detection CVPR 2021 Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering EMNLP 2021 Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model MIDL 2021 Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech Interspeech 2021 Weak-shot Fine-grained Classification via Similarity Transfer NeurIPS 2021 We Are More Than Our Joints: Predicting How 3D Bodies Move CVPR 2021 WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition CVPR 2021 Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach ICCV 2021 WeChat Neural Machine Translation Systems for WMT21 EMNLP 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 Welfare Guarantees in Schelling Segregation AAAI 2021 Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 We Need to Consider Disagreement in Evaluation ACL 2021 We Need To Talk About Random Splits EACL 2021 We Need to Talk About train-dev-test Splits EMNLP 2021 What are the Statistical Limits of Offline RL with Linear Function Approximation? ICLR 2021 What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions ICLR 2021 What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021 What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability EMNLP 2021 What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels CVPR 2021