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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)

Large Language Models Can Self-Improve EMNLP 2023 Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. NeurIPS 2023 Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters EMNLP 2023 Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning EMNLP 2023 Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets EMNLP 2023 Large-Scale Training Data Search for Object Re-Identification CVPR 2023 Large-to-Small Image Resolution Asymmetry in Deep Metric Learning WACV 2023 LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models CVPR 2023 LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning ACL 2023 Late Fusion of Transformers for Sentiment Analysis of Code-Switched Data EMNLP 2023 Latent Variable Representation for Reinforcement Learning ICLR 2023 Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale In-the-wild Laughter Corpus Interspeech 2023 Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations ICLR 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023 Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition ACL 2023 LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder EMNLP 2023 Layout Generation as Intermediate Action Sequence Prediction AAAI 2023 LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding ACL 2023 LayoutPrompter: Awaken the Design Ability of Large Language Models NeurIPS 2023 Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing ACL 2023 LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement EMNLP 2023 LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation EACL 2023 Leaping Into Memories: Space-Time Deep Feature Synthesis ICCV 2023 Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions AAAI 2023