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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
'10
'15
'20
'25

Papers (including subtopics)

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions CVPR 2023 Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data Interspeech 2023 Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? EMNLP 2023 Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation Interspeech 2023 Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation ACL 2023 KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment EMNLP 2023 Know What I don’t Know: Handling Ambiguous and Unknown Questions for Text-to-SQL ACL 2023 KPT: Keyword-Guided Pre-training for Grounded Dialog Generation AAAI 2023 KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023 KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization ACL 2023 K-UniMorph: Korean Universal Morphology and its Feature Schema ACL 2023 KWJA: A Unified Japanese Analyzer Based on Foundation Models ACL 2023 L2T-DLN: Learning to Teach with Dynamic Loss Network NeurIPS 2023 Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification ACL 2023 Label-efficient Segmentation via Affinity Propagation NeurIPS 2023 Label Information Bottleneck for Label Enhancement CVPR 2023 Labeling Neural Representations with Inverse Recognition NeurIPS 2023 Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification AAAI 2023 LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization ACL 2023 LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following EMNLP 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023 LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark NeurIPS 2023 Language Adaptive Weight Generation for Multi-Task Visual Grounding CVPR 2023 Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023 Language Agnostic Multilingual Information Retrieval with Contrastive Learning ACL 2023