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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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220
477
4,652
9,258
2000
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Papers (including subtopics)

Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation AAAI 2022 PLCNet: Real-time Packet Loss Concealment with Semi-supervised Generative Adversarial Network Interspeech 2022 Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training EMNLP 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation WACV 2022 Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022 Pluralistic Image Completion with Gaussian Mixture Models NeurIPS 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task EMNLP 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 PodcastMix: A dataset for separating music and speech in podcasts Interspeech 2022 PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation EMNLP 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 POETREE: Interpretable Policy Learning with Adaptive Decision Trees ICLR 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 PointCLIP: Point Cloud Understanding by CLIP CVPR 2022 Point Cloud Pre-Training With Natural 3D Structures CVPR 2022 Point-Level Region Contrast for Object Detection Pre-Training CVPR 2022 Pointly-Supervised Instance Segmentation CVPR 2022 Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NeurIPS 2022 Poisoning and Backdooring Contrastive Learning ICLR 2022 Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022 Poisson Flow Generative Models NeurIPS 2022 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022