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)

You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with Multi-Agent Conversations ACL 2025 You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL NAACL 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data ICLR 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025 Your Model is Overconfident, and Other Lies We Tell Ourselves ACL 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark EMNLP 2025 Your ViT is Secretly an Image Segmentation Model CVPR 2025 You Shall Know a Word’s Difficulty by the Family It Keeps: Word Family Features in Personalised Word Difficulty Classifiers for L2 Spanish ACL 2025 You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception ICCV 2025 Z1: Efficient Test-time Scaling with Code EMNLP 2025 ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish ICLR 2025 Zebra: In-Context Generative Pretraining for Solving Parametric PDEs ICML 2025 ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction EMNLP 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization EMNLP 2025 ZeroComp: Zero-Shot Object Compositing from Image Intrinsics via Diffusion WACV 2025 ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning ICLR 2025 ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping CVPR 2025 ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition AAAI 2025 ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models ICCV 2025 Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025 ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning AAAI 2025 Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression CVPR 2025