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)

Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition ICCV 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025 Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes. ICCV 2025 Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios ACL 2025 Beyond Monolingual Limits: Fine-Tuning Monolingual ASR for Yoruba-English Code-Switching NAACL 2025 Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games AAAI 2025 Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization ACL 2025 Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs EMNLP 2025 Beyond Pairwise: Global Zero-shot Temporal Graph Generation EMNLP 2025 Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation AAAI 2025 Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses EMNLP 2025 Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering ACL 2025 Beyond Random Augmentations: Pretraining with Hard Views ICLR 2025 Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining EMNLP 2025 Beyond RGB: Adaptive Parallel Processing for RAW Object Detection ICCV 2025 Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity ACL 2025 Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025 Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition AAAI 2025 Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? EMNLP 2025 Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection ICCV 2025 Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization CVPR 2025 Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models EMNLP 2025 Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA UAI 2025 Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression AISTATS 2025 Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems EMNLP 2025