Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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

Papers (including subtopics)

Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks Interspeech 2020 Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources COLING 2020 Improving Confidence Estimates for Unfamiliar Examples CVPR 2020 Improving Context Modeling in Neural Topic Segmentation AACL 2020 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning COLING 2020 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 Improving Disfluency Detection by Self-Training a Self-Attentive Model ACL 2020 Improving Document-Level Neural Machine Translation with Domain Adaptation ACL 2020 Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning AAAI 2020 Improving ECG Classification Using Generative Adversarial Networks AAAI 2020 Improving End-to-End Bangla Speech Recognition with Semi-supervised Training EMNLP 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NeurIPS 2020 Improving generalization by controlling label-noise information in neural network weights ICML 2020 Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples EMNLP 2020 Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution COLING 2020 Improving Image Captioning with Better Use of Caption ACL 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020 Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP 2020 Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues EMNLP 2020 Improving Knowledge Tracing via Pre-training Question Embeddings IJCAI 2020 Improving Limited Labeled Dialogue State Tracking with Self-Supervision EMNLP 2020 Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling ACL 2020 Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ACL 2020 Improving Molecular Design by Stochastic Iterative Target Augmentation ICML 2020 Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese AACL 2020