Irina Rish
36 papers · 2009–2026 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Interdisciplinary Bridge
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Cross-Pollinator
(13)
π§¬
Topic Evolution
π₯
Mega-Team
(23)
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Keyword Champion
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Triple Crown
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Grand Slam
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Trend Setter
β‘
Prolific Year
(5)
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Conference Pioneer
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Keyword Collector
(57)
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Century Club
(34)
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Unstoppable
(7)
Conferences
ICLR (9)
NIPS (8)
ICML (5)
IJCAI (4)
AAAI (3)
ACL (3)
EMNLP (2)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
online learning
(3)
large language model
(3)
reinforcement learning
(3)
catastrophic forgetting
(2)
adversarial attack
(2)
adversarial robustness
(2)
scaling law
(2)
variable selection
(2)
mutual information
(2)
continual learning
(2)
thompson sampling
(2)
stochastic optimization
(1)
feature learning
(1)
neural network training
(1)
federated learning
(1)
functional connectivity
(1)
anomaly detection
(1)
model compression
(1)
domain adaptation
(1)
domain generalization
(1)
Papers
Persistent Instability in LLMβs Personality Measurements: Effects of Scale, Reasoning, and Conversation History
AAAI 2026
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
ACL 2026
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
ICLR 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
ICLR 2025
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
ICLR 2025
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
ICML 2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
ACL 2025
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments
EMNLP 2025
Handling Delay in Real-Time Reinforcement Learning
ICLR 2025
Surprising Effectiveness of pretraining Ternary Language Model at Scale
ICLR 2025
Unsupervised Concept Discovery Mitigates Spurious Correlations
ICML 2024
Using Unity to Help Solve Reinforcement Learning
NIPS 2024
RedPajama: an Open Dataset for Training Large Language Models
NIPS 2024
Knowledge Distillation in Federated Learning: A Practical Guide
IJCAI 2024
Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design
EMNLP 2024
Maximum State Entropy Exploration using Predecessor and Successor Representations
NIPS 2023
Broken Neural Scaling Laws
ICLR 2023
Compositional Attention: Disentangling Search and Retrieval
ICLR 2022
Continual Learning In Environments With Polynomial Mixing Times
NIPS 2022
Parametric Scattering Networks
CVPR 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
ICML 2022
Predicting Infectiousness for Proactive Contact Tracing
ICLR 2021
Adversarial Feature Desensitization
NIPS 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem
IJCAI 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
NIPS 2021
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
NIPS 2020
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
AAAI 2020
Kernelized Hashcode Representations for Relation Extraction
AAAI 2019
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
ICLR 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
ICML 2019
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
IJCAI 2017
Context Attentive Bandits: Contextual Bandit with Restricted Context
IJCAI 2017
Variable Selection for Gaussian Graphical Models
AISTATS 2012
Discriminative Network Models of Schizophrenia
NIPS 2009