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)
Causality Based Front-door Defense Against Backdoor Attack on Language Models
ICML 2024
Causality for Functional Longitudinal Data
CLeaR 2024
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval
AAAI 2024
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
ICLR 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
NeurIPS 2024
Causal Layering via Conditional Entropy
CLeaR 2024
Causal-learn: Causal Discovery in Python
JMLR 2024
CausalLM is not optimal for in-context learning
ICLR 2024
Causally Abstracted Multi-armed Bandits
UAI 2024
Causally Aligned Curriculum Learning
ICLR 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control
AAAI 2024
Causally Inspired Regularization Enables Domain General Representations
AISTATS 2024
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
ICML 2024
Causal Matching using Random Hyperplane Tessellations
CLeaR 2024
Causal Micro-Narratives
EMNLP 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
ICLR 2024
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection
CVPR 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
IJCAI 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Causal Q-Aggregation for CATE Model Selection
AISTATS 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
Causal State Distillation for Explainable Reinforcement Learning
CLeaR 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NeurIPS 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024