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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)

LKAU23 at Qur’an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur’an EMNLP 2023 LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day NeurIPS 2023 LLM aided semi-supervision for efficient Extractive Dialog Summarization EMNLP 2023 LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion ACL 2023 LLM-powered Data Augmentation for Enhanced Cross-lingual Performance EMNLP 2023 LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation NeurIPS 2023 LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning ACL 2023 LMGQS: A Large-scale Dataset for Query-focused Summarization EMNLP 2023 Local 3D Editing via 3D Distillation of CLIP Knowledge CVPR 2023 Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023 Local Byte Fusion for Neural Machine Translation ACL 2023 Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023 Locality-Aware Generalizable Implicit Neural Representation NeurIPS 2023 Local Path Integration for Attribution AAAI 2023 Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration ACL 2023 LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding CVPR 2023 Location-Aware Visual Question Generation with Lightweight Models EMNLP 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023 LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference EMNLP 2023 LogiCoT: Logical Chain-of-Thought Instruction Tuning EMNLP 2023 Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue EMNLP 2023 LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion CVPR 2023 Long Document Summarization with Top-down and Bottom-up Inference EACL 2023 Long-Range Graph U-Nets: Node and Edge Clustering Pooling Model For Stroke Classification in Online Handwritten Documents ACML 2023 Long Range Language Modeling via Gated State Spaces ICLR 2023