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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)

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots NeurIPS 2023 Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023 SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction NeurIPS 2023 SFD2: Semantic-Guided Feature Detection and Description CVPR 2023 SGAligner: 3D Scene Alignment with Scene Graphs ICCV 2023 SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization CVPR 2023 SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting EMNLP 2023 SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations ICCV 2023 Shape-Aware Text-Driven Layered Video Editing CVPR 2023 Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification CVPR 2023 ShapeScaffolder: Structure-Aware 3D Shape Generation from Text ICCV 2023 ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations CVPR 2023 Shapley Based Residual Decomposition for Instance Analysis ICML 2023 Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers EACL 2023 SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks EMNLP 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples NeurIPS 2023 Shared Tasks as Tutorials: A Methodical Approach AAAI 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis NeurIPS 2023 SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models NeurIPS 2023 Sheffield’s Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages ACL 2023 Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning CVPR 2023 Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023 Shielding in Resource-Constrained Goal POMDPs AAAI 2023 SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors ICCV 2023 Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction ICCV 2023