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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives EMNLP 2022 Rethinking Nonlinear Instrumental Variable Models through Prediction Validity JMLR 2022 Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem ACL 2022 Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling ACL 2022 Rethinking the Authorship Verification Experimental Setups EMNLP 2022 Rethinking the compositionality of point clouds through regularization in the hyperbolic space NeurIPS 2022 Rethinking the Reverse-engineering of Trojan Triggers NeurIPS 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding EMNLP 2022 [RETRACTED] NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation COLING 2022 Retrieval-Augmented Generative Question Answering for Event Argument Extraction EMNLP 2022 Retrieval Augmented Visual Question Answering with Outside Knowledge EMNLP 2022 Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis CVPR 2022 Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph ICLR 2022 Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer ICML 2022 Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data ACL 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022 Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process IJCAI 2022 Reverse Differentiation via Predictive Coding AAAI 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Reversible Vision Transformers CVPR 2022 Revision for Concision: A Constrained Paraphrase Generation Task EMNLP 2022 Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training EMNLP 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022