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Papers (including subtopics)

RT-VQ2A2: Real Time Vector Quantized Question Answering with ASR COLING 2024 RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs EMNLP 2024 Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts NeurIPS 2024 RulE: Knowledge Graph Reasoning with Rule Embedding ACL 2024 Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian COLING 2024 RWKV-CLIP: A Robust Vision-Language Representation Learner EMNLP 2024 S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis ACL 2024 S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering CVPR 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment AAAI 2024 SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports IJCAI 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 Safe Collaborative Filtering ICLR 2024 Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders ACL 2024 Saliency-driven Experience Replay for Continual Learning NeurIPS 2024 SALSA: Semantically-Aware Latent Space Autoencoder AAAI 2024 SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation ECCV 2024 Sample as you Infer: Predictive Coding with Langevin Dynamics ICML 2024 Sample Complexity of Interventional Causal Representation Learning NeurIPS 2024 Sample-Efficient Agnostic Boosting NeurIPS 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data ICLR 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering AAAI 2024 Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS 2024