PPaperPicks

Svetha Venkatesh

19 papers at tracked venues · 7 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8675-6631 ↗Google Scholar ↗Homepage ↗

Venues

ICDM ×3AAAI ×2AAMAS ×2ACL ×2ECAI ×2ECML-PKDD ×2IJCAI ×2NeurIPS ×2ICLR ×1WACV ×1

Frequent coauthors

Hung Le
×13
Sunil Gupta
×12
Kien Do
×8
Dung Nguyen
×7
Truyen Tran
×6
Dai Do
×3
Santu Rana
×3
Quan Hung Tran
×2
Ragja Palakkadavath
×2
Thanh Nguyen-Tang
×2
Alistair Shilton
×2
Phuoc Nguyen
×2

Papers

  1. SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
    ACL 2026 ·
    Van Dai Do
    ,
    Manh Nguyen
    , Svetha Venkatesh,
    Hung Le
  2. Dynamic Steering With Episodic Memory For Large Language Models
    ACL 2025 ·
    Van Dai Do
    ,
    Quan Hung Tran
    , Svetha Venkatesh,
    Hung Le
  3. Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
    WACV 2025 ·
    Ragja Palakkadavath
    ,
    Hung Le
    ,
    Thanh Nguyen-Tang
    ,
    Sunil Gupta
    , Svetha Venkatesh
  4. Federated Domain Generalization with Latent Space Inversion
    ICDM 2025 ·
    Ragja Palakkadavath
    ,
    Hung Le
    ,
    Thanh Nguyen-Tang
    , Svetha Venkatesh,
    Sunil Gupta
  5. Multi-Reference Preference Optimization for Large Language Models
    AAAI 2025 ·
    Hung Le
    ,
    Quan Hung Tran
    ,
    Dung Nguyen
    ,
    Kien Do
    ,
    Saloni Mittal
    ,
    Kelechi Ogueji
    , Svetha Venkatesh
  6. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    AAMAS 2025 ·
    Dung Nguyen
    ,
    Hung Le
    ,
    Kien Do
    ,
    Sunil Gupta
    , Svetha Venkatesh,
    Truyen Tran
  7. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    IJCAI 2025 ·
    Dung Nguyen
    ,
    Hung Le
    ,
    Kien Do
    ,
    Sunil Gupta
    , Svetha Venkatesh,
    Truyen Tran
  8. Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
    NeurIPS 2025 ·
    Alistair Shilton
    ,
    Sunil Gupta
    ,
    Santu Rana
    , Svetha Venkatesh
  9. Score-Based Integrated Gradient for Root Cause Explanations of Outliers
    ICDM 2025 ·
    Phuoc Nguyen
    ,
    Truyen Tran
    ,
    Sunil Gupta
    , Svetha Venkatesh
  10. Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
    ICLR 2025 ·
    Hung Le
    ,
    Dung Nguyen
    ,
    Kien Do
    ,
    Sunil Gupta
    , Svetha Venkatesh
  11. Active Set Ordering
    NeurIPS 2024 ·
    Quoc Phong Nguyen
    ,
    Sunil Gupta
    , Svetha Venkatesh,
    Bryan Kian Hsiang Low
    ,
    Patrick Jaillet
  12. Beyond Surprise: Improving Exploration Through Surprise Novelty
    AAMAS 2024 ·
    Hung Le
    ,
    Kien Do
    ,
    Dung Nguyen
    , Svetha Venkatesh
  13. Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
    IJCAI 2024 ·
    Dung Nguyen
    ,
    Hung Le
    ,
    Kien Do
    ,
    Sunil Gupta
    , Svetha Venkatesh,
    Truyen Tran
  14. Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
    ECML-PKDD 2024 ·
    A. V. Arun Kumar
    ,
    Alistair Shilton
    ,
    Sunil Gupta
    ,
    Santu Rana
    ,
    Stewart Greenhill
    , Svetha Venkatesh
  15. Generating Realistic Tabular Data with Large Language Models
    ICDM 2024 ·
    Dang Nguyen
    ,
    Sunil Gupta
    ,
    Kien Do
    ,
    Thin Nguyen
    , Svetha Venkatesh
  16. Large Language Model Prompting with Episodic Memory
    ECAI 2024 ·
    Dai Do
    ,
    Quan Tran
    , Svetha Venkatesh,
    Hung Le
  17. Revisiting the Dataset Bias Problem from a Statistical Perspective
    ECAI 2024 ·
    Kien Do
    ,
    Dung Nguyen
    ,
    Hung Le
    ,
    Thao Le
    ,
    Dang Nguyen
    ,
    Haripriya Harikumar
    ,
    Truyen Tran
    ,
    Santu Rana
    , Svetha Venkatesh
  18. Root Cause Explanation of Outliers under Noisy Mechanisms
    AAAI 2024 ·
    Phuoc Nguyen
    ,
    Truyen Tran
    ,
    Sunil Gupta
    ,
    Thin Nguyen
    , Svetha Venkatesh
  19. Variable-Agnostic Causal Exploration for Reinforcement Learning
    ECML-PKDD 2024 ·
    Minh Hoang Nguyen
    ,
    Hung Le
    , Svetha Venkatesh