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Learning Types

32,670 papers (1 classified directly here)

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

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

38
179
3,018
5,737
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'15
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'25

Papers (including subtopics)

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models EMNLP 2021 Convolutional Dynamic Alignment Networks for Interpretable Classifications CVPR 2021 Convolutional Hough Matching Networks CVPR 2021 Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models ACL 2021 Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021 Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking Interspeech 2021 Coreference by Appearance: Visually Grounded Event Coreference Resolution EMNLP 2021 Corporate Bankruptcy Prediction with Domain-Adapted BERT EMNLP 2021 Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021 Correlative Channel-Aware Fusion for Multi-View Time Series Classification AAAI 2021 COSMic: A Coherence-Aware Generation Metric for Image Descriptions EMNLP 2021 CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback CVPR 2021 Cost-effective End-to-end Information Extraction for Semi-structured Document Images EMNLP 2021 Counterfactual Adversarial Learning with Representation Interpolation EMNLP 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021 Counterfactual Zero-Shot and Open-Set Visual Recognition CVPR 2021 Countering the Influence of Essay Length in Neural Essay Scoring EMNLP 2021 Counter-Interference Adapter for Multilingual Machine Translation EMNLP 2021 Coupled Layer-wise Graph Convolution for Transportation Demand Prediction AAAI 2021 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021 COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP 2021 Crafting Adversarial Examples for Neural Machine Translation ACL 2021 Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP 2021 CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations ICCV 2021