Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation

Ähnliche Einträge

• CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts
  von: Nikandrou, Malvina, et al.
  Veröffentlicht: (2024)
• Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks
  von: Pantazopoulos, Georgios, et al.
  Veröffentlicht: (2024)
• Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
  von: Pantazopoulos, Georgios, et al.
  Veröffentlicht: (2024)
• Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures
  von: Pantazopoulos, Georgios, et al.
  Veröffentlicht: (2026)
• Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
  von: Nikandrou, Mavina, et al.
  Veröffentlicht: (2022)