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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
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'25

Papers (including subtopics)

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation AAAI 2022 Attention Temperature Matters in Abstractive Summarization Distillation ACL 2022 Attributable Visual Similarity Learning CVPR 2022 Attribute-Based Progressive Fusion Network for RGBT Tracking AAAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction IJCAI 2022 Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method COLING 2022 Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning CVPR 2022 Audience-Centric Natural Language Generation via Style Infusion EMNLP 2022 Audio-Adaptive Activity Recognition Across Video Domains CVPR 2022 Audio-Driven Co-Speech Gesture Video Generation NeurIPS 2022 Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable ICLR 2022 Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition Interspeech 2022 Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language CVPR 2022 Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis CVPR 2022 Augmentation-Free Self-Supervised Learning on Graphs AAAI 2022 Augmented Adversarial Self-Supervised Learning for Early-Stage Alzheimer's Speech Detection Interspeech 2022 Augmenting Anchors by the Detector Itself IJCAI 2022 Augmenting Legal Judgment Prediction with Contrastive Case Relations COLING 2022 A Unified Analysis of Federated Learning with Arbitrary Client Participation NeurIPS 2022 A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NeurIPS 2022 A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training ICLR 2022 A Unified Encoder-Decoder Framework with Entity Memory EMNLP 2022 A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks NeurIPS 2022 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022 A Unified Framework for Deep Symbolic Regression NeurIPS 2022