Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

FELM: Benchmarking Factuality Evaluation of Large Language Models NeurIPS 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 FERMAT: An Alternative to Accuracy for Numerical Reasoning ACL 2023 FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning WACV 2023 Few-Sample Feature Selection via Feature Manifold Learning ICML 2023 Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network AAAI 2023 Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Interspeech 2023 Few-shot Class-incremental Audio Classification Using Stochastic Classifier Interspeech 2023 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NeurIPS 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023 Few-shot Continual Infomax Learning ICCV 2023 Few-Shot Document-Level Event Argument Extraction ACL 2023 Few-shot Event Detection: An Empirical Study and a Unified View ACL 2023 Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023 Few-Shot Geometry-Aware Keypoint Localization CVPR 2023 Few-shot In-context Learning on Knowledge Base Question Answering ACL 2023 Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 Few Shot Rationale Generation using Self-Training with Dual Teachers ACL 2023 Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL 2023 Few-Shot Semantic Image Synthesis With Class Affinity Transfer CVPR 2023