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)
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models
ACL 2022
Use of Nods Less Synchronized with Turn-Taking and Prosody During Conversations in Adults with Autism
Interspeech 2022
Use of prosodic and lexical cues for disambiguating wh-words in Korean
Interspeech 2022
User-Centric Gender Rewriting
NAACL 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
NAACL 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
Interspeech 2022
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP
EMNLP 2022
Users Hate Blondes: Detecting Sexism in User Comments on Online Romanian News
NAACL 2022
Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems
JMLR 2022
Using Commonsense Knowledge to Answer Why-Questions
EMNLP 2022
Using Conditional Independence for Belief Revision
AAAI 2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
EMNLP 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NeurIPS 2022
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
AAAI 2022
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
ICLR 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
ACL 2022
Using MaxSAT for Efficient Explanations of Tree Ensembles
AAAI 2022
Using Multimodal Data and AI to Dynamically Map Flood Risk
AAAI 2022
Using Natural Sentence Prompts for Understanding Biases in Language Models
NAACL 2022
Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020
ACL 2022
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study
ACL 2022
Using Roark-Hollingshead Distance to Probe BERT’s Syntactic Competence
EMNLP 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
JMLR 2022
Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification
EMNLP 2022
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy
EMNLP 2022