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)

Parametric Visual Program Induction with Function Modularization ICML 2022 Paraphrase Generation as Unsupervised Machine Translation COLING 2022 Paraphrasing Is All You Need for Novel Object Captioning NeurIPS 2022 ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation COLING 2022 Pareto Optimal Model Selection in Linear Bandits AISTATS 2022 Pareto Policy Adaptation ICLR 2022 Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks COLING 2022 Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification CVPR 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition ICML 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Partial-input baselines show that NLI models can ignore context, but they don’t. NAACL 2022 Partial Label Learning via Label Influence Function ICML 2022 Partial likelihood Thompson sampling UAI 2022 Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding EMNLP 2022 Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022 Particle-based Adversarial Local Distribution Regularization AISTATS 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 Partner Personas Generation for Dialogue Response Generation NAACL 2022 Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models ACL 2022 Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 Patching open-vocabulary models by interpolating weights NeurIPS 2022 Patch-Level Representation Learning for Self-Supervised Vision Transformers CVPR 2022 PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition CVPR 2022