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

8

12

26

18

20

135

136

147

149

220

231

316

526

460

477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach Interspeech 2017 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017 Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction EMNLP 2017 ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification SemEval 2017 ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns SemEval 2017 ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SemEval 2017 Effective search space reduction for spell correction using character neural embeddings EACL 2017 Effective Semisupervised Learning on Manifolds COLT 2017 Effective shared representations with Multitask Learning for Community Question Answering EACL 2017 Efficiency-aware Answering of Compositional Questions using Answer Type Prediction IJCNLP 2017 Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017 Efficient Co-Training of Linear Separators under Weak Dependence COLT 2017 Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings ACL 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017 Efficient Multiple Instance Metric Learning Using Weakly Supervised Data CVPR 2017 Efficient Nonmyopic Active Search ICML 2017 Efficient Online Linear Optimization with Approximation Algorithms NeurIPS 2017 Efficient Online Multi-robot Exploration via Distributed Sequential Greedy Assignment RSS 2017 Efficient PAC Learning from the Crowd COLT 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Efficient Techniques for Crowdsourced Top-k Lists IJCAI 2017 Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging IJCNLP 2017 EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks ACL 2017 Emotional Voice Conversion with Adaptive Scales F0 Based on Wavelet Transform Using Limited Amount of Emotional Data Interspeech 2017 Emotion Category Mapping to Emotional Space by Cross-Corpus Emotion Labeling Interspeech 2017