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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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Papers (including subtopics)

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains AAAI 2021 SSN: Soft Shadow Network for Image Compositing CVPR 2021 Stabilized Medical Image Attacks ICLR 2021 Stabilizing Dynamical Systems via Policy Gradient Methods NeurIPS 2021 Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021 StacMR: Scene-Text Aware Cross-Modal Retrieval WACV 2021 Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need SemEval 2021 State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021 Stateful ODE-Nets using Basis Function Expansions NeurIPS 2021 Stateful Strategic Regression NeurIPS 2021 Statistical inference for individual fairness ICLR 2021 Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NeurIPS 2021 Stay Together: A System for Single and Split-antecedent Anaphora Resolution NAACL 2021 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP 2021 StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision CVPR 2021 Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes CVPR 2021 StereoSet: Measuring stereotypical bias in pretrained language models ACL 2021 Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models EACL 2021 Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets ACL 2021 StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks CVPR 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation IJCAI 2021 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NeurIPS 2021 Stochastic Market Games IJCAI 2021 Stochastic model for sunk cost bias UAI 2021 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models ICLR 2021