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 Named Entity Recognition with Attentive Ensemble of Syntactic Information EMNLP 2020 Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention NeurIPS 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning AAAI 2020 Improving NMT via Filtered Back Translation AACL 2020 Improving Non-autoregressive Neural Machine Translation with Monolingual Data ACL 2020 Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes EMNLP 2020 Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models EMNLP 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020 Improving Relation Extraction with Relational Paraphrase Sentences COLING 2020 Improving Robustness of Deep-Learning-Based Image Reconstruction ICML 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020 Improving Segmentation for Technical Support Problems ACL 2020 Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection Interspeech 2020 Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020 Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation EMNLP 2020 Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020 Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition Interspeech 2020 Improving Transformer-Based Speech Recognition with Unsupervised Pre-Training and Multi-Task Semantic Knowledge Learning Interspeech 2020 Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization Interspeech 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming ICML 2020 IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020 Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition Interspeech 2020