Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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'25
Papers (including subtopics)
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
IJCAI 2025
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
ICML 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
ICML 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
L4DC 2025
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
ICCV 2025
Federated Rényi Fair Inference in Federated Heterogeneous System
UAI 2025
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
AISTATS 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients
IJCAI 2025
FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data
EMNLP 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
AAAI 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
ICCV 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
ICML 2025
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
ICML 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
FedSpaLLM: Federated Pruning of Large Language Models
NAACL 2025
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
ICML 2025
FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation
ICCV 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning
ICCV 2025
“Feels Feminine to Me”: Understanding Perceived Gendered Style through Human Annotations
EMNLP 2025
Feel the Difference? A Comparative Analysis of Emotional Arcs in Real and LLM-Generated CBT Sessions
EMNLP 2025
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
IJCAI 2025
FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection
SemEval 2025
FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection
RSS 2025