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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)

Delay and Cooperation in Nonstochastic Linear Bandits NeurIPS 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation NeurIPS 2020 Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ACL 2020 Demoting Racial Bias in Hate Speech Detection ACL 2020 Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NeurIPS 2020 Demystifying Inter-Class Disentanglement ICLR 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers NeurIPS 2020 Denoising Multi-Source Weak Supervision for Neural Text Classification EMNLP 2020 Density-Aware Graph for Deep Semi-Supervised Visual Recognition CVPR 2020 Density-Based Clustering for 3D Object Detection in Point Clouds CVPR 2020 DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks NeurIPS 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020 Design Challenges in Low-resource Cross-lingual Entity Linking EMNLP 2020 Designing Precise and Robust Dialogue Response Evaluators ACL 2020 Design Space for Graph Neural Networks NeurIPS 2020 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Interspeech 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions ICLR 2020 Detecting Audio Attacks on ASR Systems with Dropout Uncertainty Interspeech 2020 Detecting Domain-Specific Credibility and Expertise in Text and Speech Interspeech 2020 Detecting Entailment in Code-Mixed Hindi-English Conversations EMNLP 2020 Detecting Extrapolation with Local Ensembles ICLR 2020