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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)

Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Defense Against Adversarial Attacks on Audio DeepFake Detection Interspeech 2023 Definitions Matter: Guiding GPT for Multi-label Classification EMNLP 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Deformable Mesh Transformer for 3D Human Mesh Recovery CVPR 2023 Degraded Polygons Raise Fundamental Questions of Neural Network Perception NeurIPS 2023 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023 Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023 Delayed Feedback in Kernel Bandits ICML 2023 DeLiRa: Self-Supervised Depth, Light, and Radiance Fields ICCV 2023 Delivering Arbitrary-Modal Semantic Segmentation CVPR 2023 DeltaScore: Fine-Grained Story Evaluation with Perturbations EMNLP 2023 Delving Deeper into Cross-lingual Visual Question Answering EACL 2023 Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages AACL 2023 Delving into Noisy Label Detection with Clean Data ICML 2023 Delving Into Shape-Aware Zero-Shot Semantic Segmentation CVPR 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Delving into the Openness of CLIP ACL 2023 Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint CVPR 2023 Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models EMNLP 2023 DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task EMNLP 2023 DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction EMNLP 2023 DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction AAAI 2023