Skip to content
conftrace_

Learning Types

56,254 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 (1,984) 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)

Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023 Identification of Systematic Errors of Image Classifiers on Rare Subgroups ICCV 2023 Identification of the Adversary from a Single Adversarial Example ICML 2023 Identify Event Causality with Knowledge and Analogy AAAI 2023 Identifying Conspiracy Theories News based on Event Relation Graph EMNLP 2023 Identifying Interpretable Subspaces in Image Representations ICML 2023 Identifying Selection Bias from Observational Data AAAI 2023 Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns EMNLP 2023 Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification ICCV 2023 Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the “What” and Focus on the “How”! ACL 2023 Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection EMNLP 2023 IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning ACL 2023 IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements EMNLP 2023 IFSeg: Image-Free Semantic Segmentation via Vision-Language Model CVPR 2023 Ignorance is Bliss: Robust Control via Information Gating NeurIPS 2023 IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors CoRL 2023 IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation AAAI 2023 ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation ICLR 2023 I Learned Error, I Can Fix It! : A Detector-Corrector Structure for ASR Error Calibration Interspeech 2023 ILLUME: Rationalizing Vision-Language Models through Human Interactions ICML 2023 ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation AAAI 2023 Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification EMNLP 2023 ImageBind: One Embedding Space To Bind Them All CVPR 2023 ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation NeurIPS 2023 Image Cropping With Spatial-Aware Feature and Rank Consistency CVPR 2023