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)
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
NeurIPS 2022
Calibrated Learning to Defer with One-vs-All Classifiers
ICML 2022
Calibrating Factual Knowledge in Pretrained Language Models
EMNLP 2022
Calibrating Student Models for Emotion-related Tasks
EMNLP 2022
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
EMNLP 2022
Calibration Error for Heterogeneous Treatment Effects
AISTATS 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
EMNLP 2022
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
RSS 2022
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
AAAI 2022
Camelira: An Arabic Multi-Dialect Morphological Disambiguator
EMNLP 2022
CaM-Gen: Causally Aware Metric-Guided Text Generation
ACL 2022
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
CVPR 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS 2022
Can AMR Assist Legal and Logical Reasoning?
EMNLP 2022
Canary Extraction in Natural Language Understanding Models
ACL 2022
Can Attention-based Transformers Explain or Interpret Cyberbullying Detection?
COLING 2022
Can Buyers Reveal for a Better Deal?
IJCAI 2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
EMNLP 2022
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
EMNLP 2022
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
COLING 2022
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives
ACL 2022
Can Explanations Be Useful for Calibrating Black Box Models?
ACL 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
L4DC 2022
Can Functional Transfer Methods Capture Simple Inductive Biases?
AISTATS 2022
Can Humans Be out of the Loop?
CLeaR 2022