Emergent Abilities of Large Language Models
17:02
Emergent Abilities of Large Language Models
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
13:01
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
16:25
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
What exactly has TabPFN learned to do?
21:04
What exactly has TabPFN learned to do?
E-Values Expand the Scope of Conformal Prediction
18:39
E-Values Expand the Scope of Conformal Prediction
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
15:25
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
Estimating Wage Disparities Using Foundation Models
26:46
Estimating Wage Disparities Using Foundation Models
Implicit Bayesian Inference is An Insufficient Explanation of LM Behaviour in Compositional Tasks
16:10
Implicit Bayesian Inference is An Insufficient Explanation of LM Behaviour in Compositional Tasks
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
8:44
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
Backward Conformal Prediction
20:25
Backward Conformal Prediction
Conformal Prediction for Causal Effects of Continuous Treatments
15:16
Conformal Prediction for Causal Effects of Continuous Treatments
Cross-conformal predictors
19:31
Cross-conformal predictors
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
22:32
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Understanding Black-box Predictions via Influence Functions
24:04
Understanding Black-box Predictions via Influence Functions
Conformal changepoint localization
13:36
Conformal changepoint localization
Are Transformers Effective for Time Series Forecasting?
14:41
Are Transformers Effective for Time Series Forecasting?
TabNet: Attentive Interpretable Tabular Learning
21:42
TabNet: Attentive Interpretable Tabular Learning
Deep Reinforcement Learning with Double Q-learning
16:13
Deep Reinforcement Learning with Double Q-learning
Generalization Bias in Large Language Model Summarization of Scientific Research
15:33
Generalization Bias in Large Language Model Summarization of Scientific Research
Understanding deep learning requires rethinking generalization
15:45
Understanding deep learning requires rethinking generalization
Conformal e-prediction
22:24
Conformal e-prediction
A Consequentialist Critique of Binary Classification Evaluation Practices
16:57
A Consequentialist Critique of Binary Classification Evaluation Practices
Questioning Representational Optimism in Deep Learning
16:55
Questioning Representational Optimism in Deep Learning
Stacked conformal prediction
14:28
Stacked conformal prediction
Rho-1: Not All Tokens Are What You Need
14:58
Rho-1: Not All Tokens Are What You Need
Statistical inference with exchangeability and martingales
12:43
Statistical inference with exchangeability and martingales
Ilya Sutskever NeurIPS 2024 talk. Sequence to sequence learning with neural networks: what a decade.
24:37
Ilya Sutskever NeurIPS 2024 talk. Sequence to sequence learning with neural networks: what a decade.
Why do LLMs attend to the first token?
12:59
Why do LLMs attend to the first token?
Position Information in Transformers: An Overview
23:02
Position Information in Transformers: An Overview
Layer Normalization
11:30
Layer Normalization