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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)

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction EMNLP 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Time to augment self-supervised visual representation learning ICLR 2023 TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023 T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive Learning SemEval 2023 Toeplitz Neural Network for Sequence Modeling ICLR 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023 Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks EMNLP 2023 Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages ACL 2023 Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language AAAI 2023 Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions ACL 2023 TOME: A Two-stage Approach for Model-based Retrieval ACL 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NeurIPS 2023 ToonTalker: Cross-Domain Face Reenactment ICCV 2023 Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification NeurIPS 2023 Topic-DPR: Topic-based Prompts for Dense Passage Retrieval EMNLP 2023 Topic-Guided Self-Introduction Generation for Social Media Users ACL 2023 TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition CVPR 2023 TopNet: Transformer-Based Object Placement Network for Image Compositing CVPR 2023 Topological Data Analysis for Speech Processing Interspeech 2023