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)

Controllable and Compositional Generation with Latent-Space Energy-Based Models NeurIPS 2021 Controllable Context-Aware Conversational Speech Synthesis Interspeech 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021 Controllable Semantic Parsing via Retrieval Augmentation EMNLP 2021 Controlled Neural Sentence-Level Reframing of News Articles EMNLP 2021 Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Control of Unknown (Linear) Systems with Receding Horizon Learning L4DC 2021 Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection ACL 2021 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021 ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021 Convexified Graph Neural Networks for Distributed Control in Robotic Swarms IJCAI 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be JMLR 2021 COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation ICCV 2021 Cooperation in Threshold Public Projects with Binary Actions IJCAI 2021 Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions COLT 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NeurIPS 2021 CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification EMNLP 2021 Coping with Label Shift via Distributionally Robust Optimisation ICLR 2021 Coping with Noisy Training Data Labels in Paraphrase Detection EMNLP 2021 CORe: Capitalizing On Rewards in Bandit Exploration UAI 2021 CoreLM: Coreference-aware Language Model Fine-Tuning EMNLP 2021 CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction ACL 2021