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Showing papers from Dalhousie University Show all papers

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NeurIPS 2026DalhousieDeep RL

Instability of Meta-Learning Intrinsic Rewards for Policy Gradient Reinforcement Learning

Dilith Jayakody, Domenic Rosati, Janarthanan Rajendran

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning

Scott C. Lowe, Anthony Fuller, Sageev Oore, Evan Shelhamer and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026DalhousiePrivacy

Re-examining Low Rank adaptation for private LLM fine-tuning

DP-SGD noise inflates gradient singular values and disrupts decay, yet restoring fast decay improves private LLM fine-tuning efficiency without compromising privacy guarantees.

Ali Dadsetan, Frank Rudzicz

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Towards Understanding and Measuring Cognitive Atrophy in LLM Behaviour

Cognitive atrophy is formalized as a process-level behavioral measure in AI mental-health support, with a 1,576-conversation benchmark showing LLMs consistently exhibit moderate-to-high atrophy-aligned directive and validation patterns.

Abeer Badawi, Moyosoreoluwa Olatosi, Negin Baghbanzadeh, Laleh Seyyed-Kalantari and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5