Paper reviews on DS503 (2024)

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[ICLR 2024] Large Language Models Are Not Robust Multiple Choice Selectors
[ICLR 2024] Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
[CIKM 2023] Timestamps as Prompts for Geography-Aware Location Recommendation
[CVPR 2023] DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
[NeurIPS 2023] Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
[ICLR 2023] Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
[ICLR 2023] CALIBRATING TRANSFORMERS VIA SPARSE GAUSSIAN PROCESSES
[CVPR 2022] Text to Image Generation with Semantic-Spatial Aware GAN
[ICML 2022] DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
[ICLR 2023] Learning Multimodal Data Augmentation in Feature Space
[IJCAI 2021] Contrastive Losses and Solution Caching for Predict-and-Optimize
[NeurIPS 2022] Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses
[ICLR 2023] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
[ESWA 2023] ProMIL: A weakly supervised multiple instance learning for whole slide image classification based on class proxy
[ICDM 2023] Reserve Price optimization in First-Price Auctions via Multi-Task Learning
[ICLR 2024] AnomalyCLIP:Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
[CVPR 2022] End-to-end Generative Pretraining for Multimodal Video Captioning
[CVPR 2023] TryOnDiffusion: A Tale of Two UNets
[NeurIPS 2023] Quantification of Uncertainty with Adversarial Models
[AAAI 2022] Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
[WACV 2024] MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder
[ICML 2023] A Watermark for Large Language Models
[ECCV 2022] Registration based Few-Shot Anomaly Detection
[ICLR 2024] Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
[NeurIPS 2022] Simulation-guided Beam search for Neural Combinatorial Optimization
[ICLR 2024] Training Diffusion Models With Reinforcement Learning
[NeurIPS 2023] EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
[ICLR 2024] Diffusion-TS: Interpretable Diffusion for General Time Series Generation
[ICMLR 2022] A Psychological Theory of Explainability
[ICCV 2023] 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
[ICLR 2021] Dataset Condensation with Gradient Matching
[ICLR 2023] Unsupervised Model Selection for Time-series Anomaly Detection
[ICLR 2023] Relative Representations Enable Zero-Shot Latent Space Communication
[ICLR 2021] Distilling Knowledge From Reader To Retriever For Question Answering
[AAAI 2024] Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning
[AAAI 2023] Contrastive Learning Reduces Hallucination in Conversations
[CIKM 2023] Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning
[ICCV 2023] Removing Anomalies as Noises for Industrial Defect Localization
[AAAI 2024] Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
[ICLR 2024] Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
[ACL 2022] M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
[ICLR 2023] CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
[SIGIR 2022] CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space