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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
11
99
273
4,063
17,181
2000
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'25

Papers (including subtopics)

Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement ACL 2023 Trainability, Expressivity and Interpretability in Gated Neural ODEs ICML 2023 Trainability Preserving Neural Pruning ICLR 2023 Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NeurIPS 2023 Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 Training language models to summarize narratives improves brain alignment ICLR 2023 Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023 Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts ACL 2023 Training Private Models That Know What They Don’t Know NeurIPS 2023 Training-Time Attacks against K-nearest Neighbors AAAI 2023 Training Transitive and Commutative Multimodal Transformers with LoReTTa NeurIPS 2023 Train 'n Trade: Foundations of Parameter Markets NeurIPS 2023 Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks NeurIPS 2023 trajdata: A Unified Interface to Multiple Human Trajectory Datasets NeurIPS 2023 TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses ICCV 2023 Trajectory Unified Transformer for Pedestrian Trajectory Prediction ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction ICCV 2023 TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models ICCV 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 TRAMS: Training-free Memory Selection for Long-range Language Modeling EMNLP 2023 Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving ICML 2023 Transcending Scaling Laws with 0.1% Extra Compute EMNLP 2023 Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients ICCV 2023