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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Papers (including subtopics)
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection
IJCAI 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
AAAI 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
ICML 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response
AISTATS 2024
Fair Secretaries with Unfair Predictions
NeurIPS 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
ICLR 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
EMNLP 2024
Faithful Chart Summarization with ChaTS-Pi
ACL 2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024
Faithful graphical representations of local independence
AISTATS 2024
Faithful Logical Reasoning via Symbolic Chain-of-Thought
ACL 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
AAAI 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
EMNLP 2024
Faithfulness Measurable Masked Language Models
ICML 2024
Faithful Persona-based Conversational Dataset Generation with Large Language Models
ACL 2024
Faithful Rule Extraction for Differentiable Rule Learning Models
ICLR 2024
Faithful Vision-Language Interpretation via Concept Bottleneck Models
ICLR 2024
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
EMNLP 2024
Fake Alignment: Are LLMs Really Aligned Well?
NAACL 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
AISTATS 2024
FAME: Towards Factual Multi-Task Model Editing
EMNLP 2024
Familiar and Unfamiliar Speaker Identification in Speech and Singing
Interspeech 2024
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning
EMNLP 2024
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
ACL 2024