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)

A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023 A Sequence-to-Sequence&Set Model for Text-to-Table Generation ACL 2023 A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis EMNLP 2023 A Set Prediction Network For Extractive Summarization ACL 2023 A Side-by-side Comparison of Transformers for Implicit Discourse Relation Classification ACL 2023 A Simple Concatenation can Effectively Improve Speech Translation ACL 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification ACL 2023 A Soma Segmentation Benchmark in Full Adult Fly Brain CVPR 2023 Aspect-aware Unsupervised Extractive Opinion Summarization ACL 2023 Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis EMNLP 2023 A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023 Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis EMNLP 2023 ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation EMNLP 2023 ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources CVPR 2023 Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning ACL 2023 AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds Interspeech 2023 AstroNet: When Astrocyte Meets Artificial Neural Network CVPR 2023 A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction EMNLP 2023 A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models ACL 2023 A Study on the Efficiency and Generalization of Light Hybrid Retrievers ACL 2023 A Study on Transformer Configuration and Training Objective ICML 2023 A Stutter Seldom Comes Alone – Cross-Corpus Stuttering Detection as a Multi-label Problem Interspeech 2023 A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding EMNLP 2023 A Survey of Deep Learning for Mathematical Reasoning ACL 2023