Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

DATE: Domain Adaptive Product Seeker for E-Commerce CVPR 2023 DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model CVPR 2023 DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization CVPR 2023 DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics ICLR 2023 DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection ICLR 2023 DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer Interspeech 2023 DC-Former: Diverse and Compact Transformer for Person Re-identification AAAI 2023 DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability ICLR 2023 DDGR: Continual Learning with Deep Diffusion-based Generative Replay ICML 2023 DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models ICLR 2023 DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language ModelsClinical Progress Note Summarization with Rules and Languague Models ACL 2023 DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023 Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization AAAI 2023 Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood ACL 2023 Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification EMNLP 2023 Debiasing Multimodal Models via Causal Information Minimization EMNLP 2023 DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training ICLR 2023 Decision S4: Efficient Sequence-Based RL via State Spaces Layers ICLR 2023 Decision Transformer under Random Frame Dropping ICLR 2023 Decoder Tuning: Efficient Language Understanding as Decoding ACL 2023 Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization CVPR 2023 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning CVPR 2023 Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction CVPR 2023 Decompose to Generalize: Species-Generalized Animal Pose Estimation ICLR 2023 DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models EMNLP 2023