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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
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'25

Papers (including subtopics)

A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering EMNLP 2022 Application for Real-time Personalized Speaker Extraction Interspeech 2022 APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 A Program to Build E(N)-Equivariant Steerable CNNs ICLR 2022 A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning AACL 2022 A Prompt Based Approach for Euphemism Detection EMNLP 2022 A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos CVPR 2022 AQT: Adversarial Query Transformers for Domain Adaptive Object Detection IJCAI 2022 Arabic dialect identification using machine learning and transformer-based models: Submission to the NADI 2022 Shared Task EMNLP 2022 Arabic Keyphrase Extraction: Enhancing Deep Learning Models with Pre-trained Contextual Embedding and External Features EMNLP 2022 Arabic Sentiment Analysis by Pretrained Ensemble EMNLP 2022 AraDepSu: Detecting Depression and Suicidal Ideation in Arabic Tweets Using Transformers EMNLP 2022 AraLegal-BERT: A pretrained language model for Arabic Legal text EMNLP 2022 A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications AAAI 2022 AraProp at WANLP 2022 Shared Task: Leveraging Pre-Trained Language Models for Arabic Propaganda Detection EMNLP 2022 A Rationale-Centric Framework for Human-in-the-loop Machine Learning ACL 2022 ARC-NLP at CASE 2022 Task 1: Ensemble Learning for Multilingual Protest Event Detection EMNLP 2022 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP 2022 A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022 A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract) AAAI 2022 Are representations built from the ground up? An empirical examination of local composition in language models EMNLP 2022 Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NeurIPS 2022 Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective AAAI 2022