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)

Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024 Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024 InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model ACL 2024 InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024 InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification IJCAI 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 Information Flow in Self-Supervised Learning ICML 2024 InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset WACV 2024 Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models EMNLP 2024 Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation NeurIPS 2024 Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes EMNLP 2024 Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation NeurIPS 2024 Injecting Salesperson’s Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning ACL 2024 Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024 InstaGen: Enhancing Object Detection by Training on Synthetic Dataset CVPR 2024 Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction CVPR 2024 Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation CVPR 2024 Instance-based Max-margin for Practical Few-shot Recognition CVPR 2024 Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization EMNLP 2024 Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance ACL 2024 InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning CVPR 2024 InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models ACL 2024 InstructCoder: Instruction Tuning Large Language Models for Code Editing ACL 2024 Instruction Embedding: Latent Representations of Instructions Towards Task Identification NeurIPS 2024