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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)

Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus EMNLP 2023 Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation Interspeech 2023 Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM EMNLP 2023 ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications EMNLP 2023 AraDetector at ArAIEval Shared Task: An Ensemble of Arabic-specific pre-trained BERT and GPT-4 for Arabic Disinformation Detection EMNLP 2023 ArBanking77: Intent Detection Neural Model and a New Dataset in Modern and Dialectical Arabic EMNLP 2023 Architectural Backdoors in Neural Networks CVPR 2023 Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN ICML 2023 Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning NeurIPS 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023 A Read-and-Select Framework for Zero-shot Entity Linking EMNLP 2023 Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023 Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations ACL 2023 Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ACL 2023 Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ACL 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? ACL 2023 Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization EMNLP 2023 Are These the Same Apple? Comparing Images Based on Object Intrinsics NeurIPS 2023 ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis ACL 2023 Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning EMNLP 2023 A Robust Information-Masking Approach for Domain Counterfactual Generation ACL 2023 ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections NeurIPS 2023