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Learning Types

56,254 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 (1,984) 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)

Image-Free Classifier Injection for Zero-Shot Classification ICCV 2023 Image-Free Domain Generalization via CLIP for 3D Hand Pose Estimation WACV 2023 Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach EMNLP 2023 ImageNet Pre-training Also Transfers Non-robustness AAAI 2023 ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories EMNLP 2023 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023 Image Segmentation-Based Unsupervised Multiple Objects Discovery WACV 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023 ImaginaryNet: Learning Object Detectors without Real Images and Annotations ICLR 2023 Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning ACL 2023 Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models NeurIPS 2023 Imbalanced Label Distribution Learning AAAI 2023 Imbalanced Node Classification Beyond Homophilic Assumption IJCAI 2023 Imbalanced Semi-supervised Learning with Bias Adaptive Classifier ICLR 2023 IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks ACL 2023 ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition ICCV 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 Imitating Human Behaviour with Diffusion Models ICLR 2023 Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NeurIPS 2023 Imitation Learning from Vague Feedback NeurIPS 2023 I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023 Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023 impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023