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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)

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation IJCAI 2023 Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses ACL 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023 Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023 Let’s Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought EMNLP 2023 Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks AAAI 2023 Leveraging Contrastive Learning and Knowledge Distillation for Incomplete Modality Rumor Detection EMNLP 2023 Leveraging Domain Adaptation and Data Augmentation to Improve Qur’anic IR in English and Arabic EMNLP 2023 Leveraging Label Information for Multimodal Emotion Recognition Interspeech 2023 Leveraging Large Language Models for Multiple Choice Question Answering ICLR 2023 Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers EMNLP 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 Leveraging Prefix Transfer for Multi-Intent Text Revision ACL 2023 Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling Interspeech 2023 Leveraging Proxy of Training Data for Test-Time Adaptation ICML 2023 Leveraging sparse and shared feature activations for disentangled representation learning NeurIPS 2023 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning EMNLP 2023 Leveraging Sub-class Discimination for Compositional Zero-Shot Learning AAAI 2023 Leveraging Synthetic Targets for Machine Translation ACL 2023 Leveraging Temporal Context in Low Representational Power Regimes CVPR 2023 Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning ACL 2023 Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection NeurIPS 2023 Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023 LexSym: Compositionality as Lexical Symmetry ACL 2023 LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising CVPR 2023