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)

Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery CVPR 2023 Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CoRL 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation CVPR 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks ICCV 2023 BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion ICCV 2023 Box-Level Active Detection CVPR 2023 BoxSnake: Polygonal Instance Segmentation with Box Supervision ICCV 2023 BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation CVPR 2023 BpHigh at WASSA 2023: Using Contrastive Learning to build Sentence Transformer models for Multi-Class Emotion Classification in Code-mixed Urdu ACL 2023 BrainBERT: Self-supervised representation learning for intracranial recordings ICLR 2023 Brain-like representational straightening of natural movies in robust feedforward neural networks ICLR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023 Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer’s Disease ACL 2023 Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning EMNLP 2023 Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images ICCV 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023 Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection AAAI 2023 Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models ICCV 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Bridging Argument Quality and Deliberative Quality Annotations with Adapters EACL 2023 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023