Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition ICML 2024 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 MagiCapture: High-Resolution Multi-Concept Portrait Customization AAAI 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions ICML 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NeurIPS 2024 MAIR: A Massive Benchmark for Evaluating Instructed Retrieval EMNLP 2024 Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners ACL 2024 Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis EMNLP 2024 Make Lossy Compression Meaningful for Low-Light Images AAAI 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 Make Pixels Dance: High-Dynamic Video Generation CVPR 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training EMNLP 2024 Making AI Policies Transparent to Humans through Demonstrations AAAI 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding CVPR 2024 MALT Powers Up Adversarial Attacks NeurIPS 2024 MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space NeurIPS 2024 MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification AAAI 2024 Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds AAAI 2024 ManiFPT: Defining and Analyzing Fingerprints of Generative Models CVPR 2024 ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation CVPR 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024