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)

Pedestrian Cross Forecasting with Hybrid Feature Fusion ACML 2023 Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection ACL 2023 PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks ACL 2023 PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023 PEFTDebias : Capturing debiasing information using PEFTs EMNLP 2023 PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability AAAI 2023 Perception and Semantic Aware Regularization for Sequential Confidence Calibration CVPR 2023 Permutation Equivariant Neural Functionals NeurIPS 2023 Personality Understanding of Fictional Characters during Book Reading ACL 2023 Personalized Dialogue Generation with Persona-Adaptive Attention AAAI 2023 PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation EMNLP 2023 Perturbation Analysis of Neural Collapse ICML 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NeurIPS 2023 PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification ACL 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 PGSS: Pitch-Guided Speech Separation AAAI 2023 Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NeurIPS 2023 PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification CVPR 2023 Phone2Proc: Bringing Robust Robots Into Our Chaotic World CVPR 2023 Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system Interspeech 2023 Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning ACL 2023 Physically Adversarial Infrared Patches With Learnable Shapes and Locations CVPR 2023 Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023 Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction AAAI 2023 Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation NeurIPS 2023