Skip to content
conftrace_

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)

Pragmatic Code Autocomplete AAAI 2021 Pragmatic Image Compression for Human-in-the-Loop Decision-Making NeurIPS 2021 PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation ACL 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection ICCV 2021 Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining EMNLP 2021 Predicting Flashover Occurrence using Surrogate Temperature Data AAAI 2021 Predicting Human Scanpaths in Visual Question Answering CVPR 2021 Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021 Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone AAAI 2021 Predictive Adversarial Learning from Positive and Unlabeled Data AAAI 2021 PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning NeurIPS 2021 Prefix-Tuning: Optimizing Continuous Prompts for Generation ACL 2021 Pre-Trained Image Processing Transformer CVPR 2021 Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction AAAI 2021 Pre-Training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning Interspeech 2021 Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence ACL 2021 Pre-training Text-to-Text Transformers for Concept-centric Common Sense ICLR 2021 Pre-train or Annotate? Domain Adaptation with a Constrained Budget EMNLP 2021 Preventing Author Profiling through Zero-Shot Multilingual Back-Translation EMNLP 2021 Prevent the Language Model from being Overconfident in Neural Machine Translation ACL 2021 Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021 Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021 Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021 Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021 PR-Net: Preference Reasoning for Personalized Video Highlight Detection ICCV 2021