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)

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives EMNLP 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming AAAI 2024 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024 Where does In-context Learning Happen in Large Language Models? NeurIPS 2024 Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval NeurIPS 2024 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders IJCAI 2024 Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition ACL 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024 Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation Interspeech 2024 Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities EMNLP 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NeurIPS 2024 Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search AAAI 2024 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NeurIPS 2024 Who Wrote this Code? Watermarking for Code Generation ACL 2024 Why academia should cut back general enthusiasm about CAs EACL 2024 Why are Visually-Grounded Language Models Bad at Image Classification? NeurIPS 2024 ‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation AAAI 2024 Why Don’t Prompt-Based Fairness Metrics Correlate? ACL 2024 Why Do We Need Weight Decay in Modern Deep Learning? NeurIPS 2024 Why is SAM Robust to Label Noise? ICLR 2024 Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise NAACL 2024 Wide Two-Layer Networks can Learn from Adversarial Perturbations NeurIPS 2024