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)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms NeurIPS 2024 DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment Interspeech 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NeurIPS 2024 DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection CVPR 2024 Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector AAAI 2024 DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data EACL 2024 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NeurIPS 2024 Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) IJCAI 2024 Detecting Content Segments From Online Sports Streaming Events: Challenges and Solutions WACV 2024 Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media Memes COLING 2024 Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests EMNLP 2024 Detecting Offensive Language in an Open Chatbot Platform COLING 2024 Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter EMNLP 2024 Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models EACL 2024 Detecting Temporal Ambiguity in Questions EMNLP 2024 Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content Interspeech 2024 Detection and Defense of Unlearnable Examples AAAI 2024 Detection-Based Intermediate Supervision for Visual Question Answering AAAI 2024 Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024 Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models NAACL 2024 DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NeurIPS 2024 DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages EACL 2024 Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NeurIPS 2024