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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

This Looks Like That: Deep Learning for Interpretable Image Recognition NeurIPS 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Through-Wall Human Mesh Recovery Using Radio Signals ICCV 2019 Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NeurIPS 2019 Tightness-Aware Evaluation Protocol for Scene Text Detection CVPR 2019 TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019 Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data AAAI 2019 TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer ICLR 2019 Time-Conditioned Action Anticipation in One Shot CVPR 2019 Time-series Generative Adversarial Networks NeurIPS 2019 Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities EMNLP 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019 Topic Modeling with Wasserstein Autoencoders ACL 2019 Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings ACL 2019 Topics to Avoid: Demoting Latent Confounds in Text Classification EMNLP 2019 Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective IJCAI 2019 Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning ICCV 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Toward a Task of Feedback Comment Generation for Writing Learning EMNLP 2019 Toward Comprehensive Understanding of a Sentiment Based on Human Motives ACL 2019 Toward Realistic Image Compositing With Adversarial Learning CVPR 2019 Towards Adversarially Robust Object Detection ICCV 2019