Co-occurring keywords · papers mentioning both
Papers
Vision-and-Language Navigation via Causal Learning
CVPR 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
NeurIPS 2024
VisMin: Visual Minimal-Change Understanding
NeurIPS 2024
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
NeurIPS 2024
Visual Grounding for User Interfaces
NAACL 2024
Visually-Aware Context Modeling for News Image Captioning
NAACL 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era
CVPR 2024
VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding
AAAI 2024
VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction
EACL 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
EMNLP 2024
Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling
CVPR 2024
Weakly Supervised Semantic Segmentation for Driving Scenes
AAAI 2024
Weakly Supervised Video Individual Counting
CVPR 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification
Interspeech 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
NeurIPS 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
AAAI 2024
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning
AAAI 2024
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
NAACL 2024
XFACT Team0331 at PerspectiveArg2024: Sampling from Bounded Clusters for Diverse Relevant Argument Retrieval
ACL 2024
Your contrastive learning problem is secretly a distribution alignment problem
NeurIPS 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
ICLR 2024
Zero-shot Cross-lingual Alignment for Embedding Initialization
ACL 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
COLING 2024
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NeurIPS 2023